@article{LaskovGehlKruegeretal.2006,
  author    = {Laskov, Pavel and Gehl, Christian and Kr{\"u}ger, Stefan and M{\"u}ller, Klaus-Robert},
  title     = {Incremental support vector learning: analysis, implementation and applications},
  series = {Journal of machine learning research},
  volume    = {7},
  journal   = {Journal of machine learning research},
  publisher = {MIT Press},
  address   = {Cambridge, Mass.},
  issn      = {1532-4435},
  pages     = {1909 -- 1936},
  year      = {2006},
  abstract  = {Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM learning, with the aim of providing a fast, numerically stable and robust implementation. A detailed analysis of convergence and of algorithmic complexity of incremental SVM learning is carried out. Based on this analysis, a new design of storage and numerical operations is proposed, which speeds up the training of an incremental SVM by a factor of 5 to 20. The performance of the new algorithm is demonstrated in two scenarios: learning with limited resources and active learning. Various applications of the algorithm, such as in drug discovery, online monitoring of industrial devices and and surveillance of network traffic, can be foreseen.},
  language  = {en}
}
@article{WiggeringDalchowGlemnitzetal.2006,
  author    = {Wiggering, Hubert and Dalchow, Claus and Glemnitz, Michael and Helming, Katharina and M{\"u}ller, Klaus and Schultz, Alfred and Stachow, Ulrich and Zander, Peter},
  title     = {Indicators for multifunctional land use : linking socio-economic requirements with landscape potentials},
  year      = {2006},
  abstract  = {Indicators to assess sustainable land development often focus on either economic or ecologic aspects of landscape use. The concept of multifunctional land use helps merging those two focuses by emphasising on the rule that economic action is per se accompanied by ecological utility: commodity outputs (CO, e.g., yields) are paid for on the market, but non-commodity outputs (NCO, e.g., landscape aesthetics) so far are public goods with no markets. Agricultural production schemes often provided both outputs by joint production, but with technical progress under prevailing economic pressure, joint production increasingly vanishes by decoupling of commodity from non-commodity production. Simultaneously, by public and political awareness of these shortcomings, there appears a societal need or even demand for some non-commodity outputs of land use, which induces a market potential, and thus, shift towards the status of a commodity outputs. An approach is presented to merge both types of output by defining an indicator of social utility (SUMLU): production schemes are considered with respect to social utility of both commodity and non-commodity outputs. Social utility in this sense includes environmental and economic services as long as society expresses a demand for them. For each combination of parameters at specific frame conditions (e.g., soil and climate properties of a landscape) a production possibility curve can reflect trade-offs between commodity and non-commodity outputs. On each production possibility curve a welfare optimum can be identified expressing the highest achievable value of social utility as a trade-off between CO and NCO production. When applying more parameters, a cluster of welfare optimums is generated. Those clusters can be used for assessing production schemes with respect to sustainable land development. Examples of production possibility functions are given on easy applicable parameters (nitrogen leaching versus gross margin) and on more complex ones (biotic integrity). Social utility, thus allows to evaluate sustainability of land development in a cross-sectoral approach with respect to multifunctionality. (C) 2005 Elsevier Ltd. All rights reserved},
  language  = {en}
}
@article{ShenoyKrauledatBlankertzetal.2006,
  author    = {Shenoy, Pradeep and Krauledat, Matthias and Blankertz, Benjamin and Rao, Rajesh P. N. and M{\"u}ller, Klaus-Robert},
  title     = {Towards adaptive classification for BCI},
  doi       = {10.1088/1741-2560/3/1/R02},
  year      = {2006},
  abstract  = {Non-stationarities are ubiquitous in EEG signals. They are especially apparent in the use of EEG-based brain- computer interfaces (BCIs): (a) in the differences between the initial calibration measurement and the online operation of a BCI, or (b) caused by changes in the subject's brain processes during an experiment (e.g. due to fatigue, change of task involvement, etc). In this paper, we quantify for the first time such systematic evidence of statistical differences in data recorded during offline and online sessions. Furthermore, we propose novel techniques of investigating and visualizing data distributions, which are particularly useful for the analysis of (non-) stationarities. Our study shows that the brain signals used for control can change substantially from the offline calibration sessions to online control, and also within a single session. In addition to this general characterization of the signals, we propose several adaptive classification schemes and study their performance on data recorded during online experiments. An encouraging result of our study is that surprisingly simple adaptive methods in combination with an offline feature selection scheme can significantly increase BCI performance},
  language  = {en}
}
@article{BlanchardKawanabeSugiyamaetal.2006,
  author    = {Blanchard, Gilles and Kawanabe, Motoaki and Sugiyama, Masashi and Spokoiny, Vladimir G. and M{\"u}ller, Klaus-Robert},
  title     = {In search of non-Gaussian components of a high-dimensional distribution},
  issn      = {1532-4435},
  year      = {2006},
  abstract  = {Finding non-Gaussian components of high-dimensional data is an important preprocessing step for efficient information processing. This article proposes a new linear method to identify the '' non-Gaussian subspace '' within a very general semi-parametric framework. Our proposed method, called NGCA (non-Gaussian component analysis), is based on a linear operator which, to any arbitrary nonlinear (smooth) function, associates a vector belonging to the low dimensional non-Gaussian target subspace, up to an estimation error. By applying this operator to a family of different nonlinear functions, one obtains a family of different vectors lying in a vicinity of the target space. As a final step, the target space itself is estimated by applying PCA to this family of vectors. We show that this procedure is consistent in the sense that the estimaton error tends to zero at a parametric rate, uniformly over the family, Numerical examples demonstrate the usefulness of our method},
  language  = {en}
}
@article{BlankertzDornhegeKrauledatetal.2006,
  author    = {Blankertz, Benjamin and Dornhege, Guido and Krauledat, Matthias and M{\"u}ller, Klaus-Robert and Kunzmann, Volker and Losch, Florian and Curio, Gabriel},
  title     = {The Berlin brain-computer interface : EEG-based communication without subject training},
  issn      = {1534-4320},
  doi       = {10.1109/Tnsre.2006.875557},
  year      = {2006},
  abstract  = {The Berlin Brain-Computer Interface (BBCI) project develops a noninvasive BCI system whose key features are 1) the use of well-established motor competences as control paradigms, 2) high-dimensional features from 128-channel electroencephalogram (EEG), and 3) advanced machine learning techniques. As reported earlier, our experiments demonstrate that very high information transfer rates can be achieved using the readiness potential (RP) when predicting the laterality of upcoming left-versus right-hand movements in healthy subjects. A more recent study showed that the RP similarily accompanies phantom movements in arm amputees, but the signal strength decreases with longer loss of the limb. In a complementary approach, oscillatory features are used to discriminate imagined movements (left hand versus right hand versus foot). In a recent feedback study with six healthy subjects with no or very little experience with BCI control, three subjects achieved an information transfer rate above 35 bits per minute (bpm), and further two subjects above 24 and 15 bpm, while one subject could not achieve any BCI control. These results are encouraging for an EEG-based BCI system in untrained subjects that is independent of peripheral nervous system activity and does not rely on evoked potentials even when compared to results with very well-trained subjects operating other BCI systems},
  language  = {en}
}
@article{MeineckeZieheKurthsetal.2005,
  author    = {Meinecke, Frank C. and Ziehe, Andreas and Kurths, J{\"u}rgen and M{\"u}ller, Klaus-Robert},
  title     = {Measuring phase synchronization of superimposed signals},
  issn      = {0031-9007},
  year      = {2005},
  abstract  = {Phase synchronization is an important phenomenon that occurs in a wide variety of complex oscillatory processes. Measuring phase synchronization can therefore help to gain fundamental insight into nature. In this Letter we point out that synchronization analysis techniques can detect spurious synchronization, if they are fed with a superposition of signals such as in electroencephalography or magnetoencephalography data. We show how techniques from blind source separation can help to nevertheless measure the true synchronization and avoid such pitfalls},
  language  = {en}
}
@article{NolteMeineckeZieheetal.2006,
  author    = {Nolte, Guido and Meinecke, Frank C. and Ziehe, Andreas and M{\"u}ller, Klaus-Robert},
  title     = {Identifying interactions in mixed and noisy complex systems},
  doi       = {10.1103/Physreve.73.051913},
  year      = {2006},
  abstract  = {We present a technique that identifies truly interacting subsystems of a complex system from multichannel data if the recordings are an unknown linear and instantaneous mixture of the true sources. The method is valid for arbitrary noise structure. For this, a blind source separation technique is proposed that diagonalizes antisymmetrized cross- correlation or cross-spectral matrices. The resulting decomposition finds truly interacting subsystems blindly and suppresses any spurious interaction stemming from the mixture. The usefulness of this interacting source analysis is demonstrated in simulations and for real electroencephalography data},
  language  = {en}
}
@article{LemmCurioHlushchuketal.2006,
  author    = {Lemm, Steven and Curio, Gabriel and Hlushchuk, Yevhen and M{\"u}ller, Klaus-Robert},
  title     = {Enhancing the signal-to-noise ratio of ICA-based extracted ERPs},
  issn      = {0018-9294},
  doi       = {10.1109/Tbme.2006.870258},
  year      = {2006},
  abstract  = {When decomposing single trial electroencephalography it is a challenge to incorporate prior physiological knowledge. Here, we develop a method that uses prior information about the phase-locking property of event-related potentials in a regularization framework to bias a blind source separation algorithm toward an improved separation of single-trial phase-locked responses in terms of an increased signal-to-noise ratio. In particular, we suggest a transformation of the data, using weighted average of the single trial and trial-averaged response, that redirects the focus of source separation methods onto the subspace of event-related potentials. The practical benefit with respect to an improved separation of such components from ongoing background activity and extraneous noise is first illustrated on artificial data and finally verified in a real-world application of extracting single-trial somatosensory evoked potentials from multichannel EEG-recordings},
  language  = {en}
}
@article{LaubRothBuhmannetal.2006,
  author    = {Laub, Julian and Roth, Volker and Buhmann, Joachim and M{\"u}ller, Klaus-Robert},
  title     = {On the information and representation of non-Euclidean pairwise data},
  issn      = {0031-3203},
  doi       = {10.1016/j.patcog.2006.04.016},
  year      = {2006},
  abstract  = {Two common data representations are mostly used in intelligent data analysis, namely the vectorial and the pairwise representation. Pairwise data which satisfy the restrictive conditions of Euclidean spaces can be faithfully translated into a Euclidean vectorial representation by embedding. Non-metric pairwise data with violations of symmetry, reflexivity or triangle inequality pose a substantial conceptual problem for pattern recognition since the amount of predictive structural information beyond what can be measured by embeddings is unclear. We show by systematic modeling of non-Euclidean pairwise data that there exists metric violations which can carry valuable problem specific information. Furthermore, Euclidean and non-metric data can be unified on the level of structural information contained in the data. Stable component analysis selects linear subspaces which are particularly insensitive to data fluctuations. Experimental results from different domains support our pattern recognition strategy.},
  language  = {en}
}
@article{KawanabeBlanchardSugiyamaetal.2006,
  author    = {Kawanabe, Motoaki and Blanchard, Gilles and Sugiyama, Masashi and Spokoiny, Vladimir G. and M{\"u}ller, Klaus-Robert},
  title     = {A novel dimension reduction procedure for searching non-Gaussian subspaces},
  issn      = {0302-9743},
  doi       = {10.1007/11679363_19},
  year      = {2006},
  abstract  = {In this article, we consider high-dimensional data which contains a low-dimensional non-Gaussian structure contaminated with Gaussian noise and propose a new linear method to identify the non-Gaussian subspace. Our method NGCA (Non-Gaussian Component Analysis) is based on a very general semi-parametric framework and has a theoretical guarantee that the estimation error of finding the non-Gaussian components tends to zero at a parametric rate. NGCA can be used not only as preprocessing for ICA, but also for extracting and visualizing more general structures like clusters. A numerical study demonstrates the usefulness of our method},
  language  = {en}
}
@article{KawanabeMueller2005,
  author    = {Kawanabe, Motoaki and M{\"u}ller, Klaus-Robert},
  title     = {Estimating functions for blind separation when sources have variance dependencies},
  year      = {2005},
  abstract  = {A blind separation problem where the sources are not independent, but have variance dependencies is discussed. For this scenario Hyvarinen and Hurri (2004) proposed an algorithm which requires no assumption on distributions of sources and no parametric model of dependencies between components. In this paper, we extend the semiparametric approach of Amari and Cardoso (1997) to variance dependencies and study estimating functions for blind separation of such dependent sources. In particular, we show that many ICA algorithms are applicable to the variance-dependent model as well under mild conditions, although they should in principle not. Our results indicate that separation can be done based only on normalized sources which are adjusted to have stationary variances and is not affected by the dependent activity levels. We also study the asymptotic distribution of the quasi maximum likelihood method and the stability of the natural gradient learning in detail. Simulation results of artificial and realistic examples match well with our theoretical findings},
  language  = {en}
}
@article{MeineckeHarmelingMueller2005,
  author    = {Meinecke, Frank C. and Harmeling, Stefan and M{\"u}ller, Klaus-Robert},
  title     = {Inlier-based ICA with an application to superimposed images},
  issn      = {0899-9457},
  year      = {2005},
  abstract  = {This paper proposes a new independent component analysis (ICA) method which is able to unmix overcomplete mixtures of sparce or structured signals like speech, music or images. Furthermore, the method is designed to be robust against outliers, which is a favorable feature for ICA algorithms since most of them are extremely sensitive to outliers. Our approach is based on a simple outlier index. However, instead of robustifying an existing algorithm by some outlier rejection technique we show how this index can be used directly to solve the ICA problem for super-Gaussian sources. The resulting inlier-based ICA (IBICA) is outlier-robust by construction and can be used for standard ICA as well as for overcomplete ICA (i.e. more source signals than observed signals). (c) 2005 Wiley Periodicals, Inc},
  language  = {en}
}
@article{LemmBlankertzCurioetal.2005,
  author    = {Lemm, Steven and Blankertz, Benjamin and Curio, Gabriel and M{\"u}ller, Klaus-Robert},
  title     = {Spatio-spectral filters for improving the classification of single trial EEG},
  issn      = {0018-9294},
  year      = {2005},
  abstract  = {Data recorded in electroencephalogram (EEG)-based brain-computer interface experiments is generally very noisy, non-stationary, and contaminated with artifacts that can deteriorate discrimination/classification methods. In this paper, we extend the common spatial pattern (CSP) algorithm with the aim to alleviate these adverse effects. In particular, we suggest an extension of CSP to the state space, which utilizes the method of time delay embedding. As we will show, this allows for individually tuned frequency filters at each electrode position and, thus, yields an improved and more robust machine learning procedure. The advantages of the proposed method over the original CSP method are verified in terms of an improved information transfer rate (bits per trial) on a set of EEG-recordings from experiments of imagined limb movements},
  language  = {en}
}
@article{DornhegeBlankertzCurioetal.2004,
  author    = {Dornhege, Guido and Blankertz, Benjamin and Curio, Gabriel and M{\"u}ller, Klaus-Robert},
  title     = {Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms},
  year      = {2004},
  abstract  = {Noninvasive electroencephalogram (EEG) recordings provide for easy and safe access to human neocortical processes which can be exploited for a brain-computer interface (BCI). At present, however, the use of BCIs is severely limited by low bit-transfer rates. We systematically analyze and develop two recent concepts, both capable of enhancing the information gain from multichannel scalp EEG recordings: 1) the combination of classifiers, each specifically tailored for different physiological phenomena, e.g., slow cortical potential shifts, such as the premovement Bereitschaftspotential or differences in spatio-spectral distributions of brain activity (i.e., focal event-related desynchronizations) and 2) behavioral paradigms inducing the subjects to generate one out of several brain states (multiclass approach) which all bare a distinctive spatio-temporal signature well discriminable in the standard scalp EEG. We derive information-theoretic predictions and demonstrate their relevance in experimental data. We will show that a suitably arranged interaction between these concepts can significantly boost BCI performances},
  language  = {en}
}
@article{ZieheLaskovNolteetal.2004,
  author    = {Ziehe, Andreas and Laskov, Pavel and Nolte, G and M{\"u}ller, Klaus-Robert},
  title     = {A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation},
  year      = {2004},
  abstract  = {A new efficient algorithm is presented for joint diagonalization of several matrices. The algorithm is based on the Frobenius-norm formulation of the joint diagonalization problem, and addresses diagonalization with a general, non- orthogonal transformation. The iterative scheme of the algorithm is based on a multiplicative update which ensures the invertibility of the diagonalizer. The algorithm's efficiency stems from the special approximation of the cost function resulting in a sparse, block-diagonal Hessian to be used in the computation of the quasi-Newton update step. Extensive numerical simulations illustrate the performance of the algorithm and provide a comparison to other leading diagonalization methods. The results of such comparison demonstrate that the proposed algorithm is a viable alternative to existing state-of-the-art joint diagonalization algorithms. The practical use of our algorithm is shown for blind source separation problems},
  language  = {en}
}
@article{LaubMueller2004,
  author    = {Laub, Julian and M{\"u}ller, Klaus-Robert},
  title     = {Feature discovery in non-metric pairwise data},
  year      = {2004},
  abstract  = {Pairwise proximity data, given as similarity or dissimilarity matrix, can violate metricity. This occurs either due to noise, fallible estimates, or due to intrinsic non-metric features such as they arise from human judgments. So far the problem of non-metric pairwise data has been tackled by essentially omitting the negative eigenvalues or shifting the spectrum of the associated (pseudo) covariance matrix for a subsequent embedding. However, little attention has been paid to the negative part of the spectrum itself. In particular no answer was given to whether the directions associated to the negative eigenvalues would at all code variance other than noise related. We show by a simple, exploratory analysis that the negative eigenvalues can code for relevant structure in the data, thus leading to the discovery of new features, which were lost by conventional data analysis techniques. The information hidden in the negative eigenvalue part of the spectrum is illustrated and discussed for three data sets, namely USPS handwritten digits, text-mining and data from cognitive psychology},
  language  = {en}
}
@article{BlankertzMuellerCurioetal.2004,
  author    = {Blankertz, Benjamin and M{\"u}ller, Klaus-Robert and Curio, Gabriel and Vaughan, Theresa M. and Schalk, Gerwin and Wolpaw, Jonathan R. and Schlogl, Alois and Neuper, Christa and Pfurtscheller, Gert and Hinterberger, Thilo and Schroder, Michael and Birbaumer, Niels},
  title     = {The BCI competition 2003 : Progress and perspectives in detection and discrimination of EEG single trials},
  issn      = {0018-9294},
  year      = {2004},
  abstract  = {Interest in developing a new method of man-to-machine communication-a brain-computer interface (BCI)-has grown steadily over the past few decades. BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways of nerves and muscles. These systems use signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to control a variety of applications including simple word-processing software and orthotics. BCI technology could therefore provide a new communication and control option for individuals who cannot otherwise express their wishes to the outside world. Signal processing and classification methods are essential tools in the development of improved BCI technology. We organized the BCI Competition 2003 to evaluate the current state of the art of these tools. Four laboratories well versed in EEG-based BCI research provided six data sets in a documented format. We made these data sets (i.e., labeled training sets and unlabeled test sets) and their descriptions available on the Internet. The goal in the competition was to maximize the performance measure for the test labels. Researchers worldwide tested their algorithms and competed for the best classification results. This paper describes the six data sets and the results and function of the most successful algorithms},
  language  = {en}
}
@article{HarmelingMeineckeMueller2004,
  author    = {Harmeling, Stefan and Meinecke, Frank C. and M{\"u}ller, Klaus-Robert},
  title     = {Injecting noise for analysing the stability of ICA components},
  issn      = {0165-1684},
  year      = {2004},
  abstract  = {Usually, noise is considered to be destructive. We present a new method that constructively injects noise to assess the reliability and the grouping structure of empirical ICA component estimates. Our method can be viewed as a Monte-Carlo-style approximation of the curvature of some performance measure at the solution. Simulations show that the true root-mean-squared angle distances between the real sources and the source estimates can be approximated well by our method. In a toy experiment, we see that we are also able to reveal the underlying grouping structure of the extracted ICA components. Furthermore, an experiment with fetal ECG data demonstrates that our approach is useful for exploratory data analysis of real-world data. (C) 2003 Elsevier B.V. All rights reserved},
  language  = {en}
}
@article{MuellerVigarioMeineckeetal.2004,
  author    = {M{\"u}ller, Klaus-Robert and Vigario, R. and Meinecke, Frank C. and Ziehe, Andreas},
  title     = {Blind source separation techniques for decomposing event-related brain signals},
  issn      = {0218-1274},
  year      = {2004},
  abstract  = {Recently blind source separation (BSS) methods have been highly successful when applied to biomedical data. This paper reviews the concept of BSS and demonstrates its usefulness in the context of event-related MEG measurements. In a first experiment we apply BSS to artifact identification of raw MEG data and discuss how the quality of the resulting independent component projections can be evaluated. The second part of our study considers averaged data of event-related magnetic fields. Here, it is particularly important to monitor and thus avoid possible overfitting due to limited sample size. A stability assessment of the BSS decomposition allows to solve this task and an additional grouping of the BSS components reveals interesting structure, that could ultimately be used for gaining a better physiological modeling of the data},
  language  = {en}
}
@article{SugiyamaKawanabeMueller2004,
  author    = {Sugiyama, Masashi and Kawanabe, Motoaki and M{\"u}ller, Klaus-Robert},
  title     = {Trading variance reduction with unbiasedness : the regularized subspace information criterion for robust model selection in kernel regression},
  issn      = {0899-7667},
  year      = {2004},
  abstract  = {A well-known result by Stein (1956) shows that in particular situations, biased estimators can yield better parameter estimates than their generally preferred unbiased counterparts. This letter follows the same spirit, as we will stabilize the unbiased generalization error estimates by regularization and finally obtain more robust model selection criteria for learning. We trade a small bias against a larger variance reduction, which has the beneficial effect of being more precise on a single training set. We focus on the subspace information criterion (SIC), which is an unbiased estimator of the expected generalization error measured by the reproducing kernel Hilbert space norm. SIC can be applied to the kernel regression, and it was shown in earlier experiments that a small regularization of SIC has a stabilization effect. However, it remained open how to appropriately determine the degree of regularization in SIC. In this article, we derive an unbiased estimator of the expected squared error, between SIC and the expected generalization error and propose determining the degree of regularization of SIC such that the estimator of the expected squared error is minimized. Computer simulations with artificial and real data sets illustrate that the proposed method works effectively for improving the precision of SIC, especially in the high-noise-level cases. We furthermore compare the proposed method to the original SIC, the cross-validation, and an empirical Bayesian method in ridge parameter selection, with good results},
  language  = {en}
}
@book{BorkMueller1997,
  author    = {Bork, Christhart and M{\"u}ller, Klaus},
  title     = {Effekte der Verrechnungsm{\"o}glichkeit negativer Eink{\"u}nfte im deutschen Einkommensteuerrecht},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-8565},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1997},
  abstract  = {Die zunehmende Erosion der veranlagten Einkommensteuer wirft die Frage auf, inwieweit die M{\"o}glichkeit der Verechnung positiver mit negativen Eink{\"u}nften daf{\"u}r verantwortlich ist. Auf der Basis eines Mikrosimulationsmodells analysiert der Beitrag die Wirkungen dieser im deutschen Einkommensteuerrecht m{\"o}glichen Verrechenbarkeit. Zum einen werden die aus der Abschaffung der Verrechnungsm{\"o}glichkeiten resultierenden Wanderungen von Steuerpflichtigen in h{\"o}here Einkommensklassen und zum anderen die Auswirkungen auf das Steueraufkommen untersucht. Insgesamt vermindern ca. 5 \% der Steuerpflichtigen ihre positiven Eink{\"u}nfte durch negative Eink{\"u}nfte einer anderen Einkunftsart. Im Hinblick auf das Steueraufkommen zeichnen sich betr{\"a}chtliche Steuerausf{\"a}lle in H{\"o}he von ca. 33 Mrd. DM durch diese Verrechnungsm{\"o}glichkeit ab.},
  language  = {de}
}
@book{BorkMueller1997,
  author    = {Bork, Christhart and M{\"u}ller, Klaus},
  title     = {Aufkommens- und Verteilungswirkungen einer Reform der Rentenbesteuerung},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-8490},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1997},
  abstract  = {Inhalt: Theoretische Begr{\"u}ndung einer Besteuerung von Alterseink{\"u}nften Kritische {\"U}berpr{\"u}fung einiger Argumente Die Reformvorschl{\"a}ge und das Simulationsmodell Die Simulationsergebnisse Kritische Bewertung der Ergebnisse Mit einem Kommentar von Hans-Peter Weikard: Rentenbesteuerung und Korrespondenzprinzip: 1. Wie selbstverst{\"a}ndlich ist das Korrespondenzprinzip? 2. Die zeitliche Dimension des Korrespondenzprinzips 3. Eine unzul{\"a}ssige Interpretation 4. Fazit},
  language  = {de}
}
@book{BorkMuellerPetersenetal.1995,
  author    = {Bork, Christhart and M{\"u}ller, Klaus and Petersen, Hans-Georg and Wirths, Stefan},
  title     = {Wider den Sachzeitwert : Untersuchung zur Frage des angemessenen {\"U}bernahmepreises von Elektrizit{\"a}tsversorgungsnetzen},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-16097},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1995},
  abstract  = {Aus der Einleitung: Die derzeitige Situation in der Elektrizit{\"a}tswirtschaft ist gekennzeichnet durch eine große Zahl anstehender Netz{\"u}bernahmen infolge auslaufender Konzessionsvertr{\"a}ge oder Arrondierungsmaßnahmen und einer Reihe dabei anh{\"a}ngiger Rechtsstreite, in denen insbesondere der "angemessene" {\"U}bernahmepreis strittig ist. Die in der Vergangenheit get{\"a}tigten Netz{\"u}bernahmen liefern zu der Frage nach dem "angemessenen" bzw. "rechtlich richtigen" {\"U}bernahmepreis keine Antwort, da die letztendlich gezahlten Preise i.d.R. das Ergebnis eines Verhandlungsprozesses waren und die damit verbundenen rechtlichen Streitfragen weiterhin offen sind. Die vorliegende Untersuchung greift die Frage nach dem "angemessenen" {\"U}bernahmepreis auf und versucht, eine aus {\"o}konomischen Argumenten abgeleitete sowie mit den rechtlichen Rahmenbedingungen zu vereinbarende Antwort zu liefern.},
  language  = {de}
}
@article{BalderjahnMuellerBorketal.2000,
  author    = {Balderjahn, Ingo and M{\"u}ller, Klaus and Bork, Hans-Rudolf and Petersen, Hans-Georg and Schultz, Peter and Soyez, Konrad and Thr{\"a}n, Daniela},
  title     = {Umweltforschung f{\"u}r das Land Brandenburg},
  series = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam},
  volume    = {8},
  journal   = {Brandenburgische Umwelt-Berichte : BUB ; Schriftenreihe der Mathematisch-Naturwissenschaftlichen Fakult{\"a}t der Universit{\"a}t Potsdam},
  issn      = {1434-2375},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-3854},
  pages     = {54 -- 78},
  year      = {2000},
  abstract  = {BALDERJAHN, I.; KRUEGER, C.: Produkte und Prozesse mit dem Ziel Nachhaltigkeit Teilprojekt: "Marketing, Kommunikation, Informationsmanagement" ; M{\"U}LLER, K. et al: Ans{\"a}tze f{\"u}r eine dauerhaft umweltgerechte landwirtschaftliche Produktion: Modellgebiet Nordost-Deutschland (GRANO) ; PETERSEN, H.-G.; M{\"U}LLER, K.: GRANO - Projektbereich 1: Dezentrale Bewertungs- und Koordinationsmechanismen - Teilprojekt 2: Honorierung {\"o}kologischer Leistungen ; SCHULTZ, P.; SOYEZ, K.: Der {\"o}kologische Friedhof - Ein Ort des Lebens ; THR{\"A}N, D.: Nachhaltiges Stoffstrommanagement l{\"a}ndlich strukturschwacher Regionen},
  language  = {de}
}
@article{HarmelingDornhegeTaxetal.2006,
  author    = {Harmeling, Stefan and Dornhege, Guido and Tax, David and Meinecke, Frank C. and M{\"u}ller, Klaus-Robert},
  title     = {From outliers to prototypes : Ordering data},
  issn      = {0925-2312},
  doi       = {10.1016/j.neucom.2005.05.015},
  year      = {2006},
  abstract  = {We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show that these easy-to-compute orderings allow us to detect outliers (i.e. very untypical points) with a performance comparable to or better than other often much more sophisticated methods. On the other hand, we show how to use these orderings to detect prototypes (very typical points) which facilitate exploratory data analysis algorithms such as noisy nonlinear dimensionality reduction and clustering. Comprehensive experiments demonstrate the validity of our approach.},
  language  = {en}
}
@article{RiedelMueller2012,
  author    = {Riedel, Peter and M{\"u}ller, Klaus-G{\"u}nter},
  title     = {Geleitwort},
  isbn      = {978-3- 7930-9701-3},
  year      = {2012},
  language  = {de}
}
@article{WiggeringLischeidMuelleretal.2014,
  author    = {Wiggering, Hubert and Lischeid, Gunnar and M{\"u}ller, Klaus and Ende, Hans-Peter},
  title     = {Ern{\"a}hrungssicherheit und zuk{\"u}nftige Landnutzungen},
  isbn      = {978-3-941880-72-6},
  year      = {2014},
  language  = {de}
}
@article{BorkMueller1997,
  author    = {Bork, Christhart and M{\"u}ller, Klaus},
  title     = {Reformvorschl{\"a}ge zur Rentenbesteuerung und ihre Folgen f{\"u}r die Verteilung},
  year      = {1997},
  language  = {de}
}
@article{PetersenMueller1995,
  author    = {Petersen, Hans-Georg and M{\"u}ller, Klaus},
  title     = {Towards a reformulation of the role of the tax and social state in the polish transformation process},
  year      = {1995},
  language  = {en}
}
@article{MontavonBraunKruegeretal.2013,
  author    = {Montavon, Gregoire and Braun, Mikio L. and Kr{\"u}ger, Tammo and M{\"u}ller, Klaus-Robert},
  title     = {Analyzing local structure in Kernel-Based learning},
  series = {IEEE signal processing magazine},
  volume    = {30},
  journal   = {IEEE signal processing magazine},
  number    = {4},
  publisher = {Inst. of Electr. and Electronics Engineers},
  address   = {Piscataway},
  issn      = {1053-5888},
  doi       = {10.1109/MSP.2013.2249294},
  pages     = {62 -- 74},
  year      = {2013},
  language  = {en}
}
@article{PetersenMuellerNagel1998,
  author    = {Petersen, Hans-Georg and M{\"u}ller, Klaus and Nagel, Thomas},
  title     = {Mineral{\"o}lsteuererh{\"o}hung und kompensatorische Einkommensteuersenkung. Simulation der Verteilungseffekte in einem mikro{\"o}konomischen Gruppensimulationsmodell},
  issn      = {0023-3498},
  year      = {1998},
  language  = {de}
}
@article{BorkMueller1998,
  author    = {Bork, Christhart and M{\"u}ller, Klaus},
  title     = {Verbreiterte Bemessungsgrundlage und Tarifsenkungspotiential im deutschen Einkommensteuerrecht},
  year      = {1998},
  language  = {de}
}
@article{BorkMueller1998,
  author    = {Bork, Christhart and M{\"u}ller, Klaus},
  title     = {Verteilung und Fiskus : die Auswirkungen der Einkommensbesteuerung auf die Einkommensverteilung},
  year      = {1998},
  language  = {de}
}
@article{BlankertzMuellerKrusienskietal.2006,
  author    = {Blankertz, Benjamin and M{\"u}ller, Klaus-Robert and Krusienski, Dean and Schalk, Gerwin and Wolpaw, Jonathan R. and Schl{\"o}gl, Alois and Pfurtscheller, Gert and Millan, Jos{\´e} del R. and Schr{\"o}der, Michael and Birbaumer, Niels},
  title     = {The BCI competition III : validating alternative approaches to actual BCI problems},
  issn      = {1534-4320},
  doi       = {10.1109/Tnsre.2006.875642},
  year      = {2006},
  abstract  = {A brain-computer interface (BCI) is a system that allows its users to control external devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation of user intent into device control commands is still a major challenge. Success requires the effective interaction of two adaptive controllers: the user's brain, which produces brain activity that encodes intent, and the BCI system, which translates that activity into device control commands. In order to facilitate this interaction, many laboratories are exploring a variety of signal analysis techniques to improve the adaptation of the BCI system to the user. In the literature, many machine learning and pattern classification algorithms have been reported to give impressive results when applied to BCI data in offline analyses. However, it is more difficult to evaluate their relative value for actual online use. BCI data competitions have been organized to provide objective formal evaluations of alternative methods. Prompted by the great interest in the first two BCI Competitions, we organized the third BCI Competition to address several of the most difficult and important analysis problems in BCI research. The paper describes the data sets that were provided to the competitors and gives an overview of the results.},
  language  = {en}
}
@article{MiethKloftRodriguezetal.2016,
  author    = {Mieth, Bettina and Kloft, Marius and Rodriguez, Juan Antonio and Sonnenburg, Soren and Vobruba, Robin and Morcillo-Suarez, Carlos and Farre, Xavier and Marigorta, Urko M. and Fehr, Ernst and Dickhaus, Thorsten and Blanchard, Gilles and Schunk, Daniel and Navarro, Arcadi and M{\"u}ller, Klaus-Robert},
  title     = {Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies},
  series = {Scientific reports},
  volume    = {6},
  journal   = {Scientific reports},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/srep36671},
  pages     = {14},
  year      = {2016},
  abstract  = {The standard approach to the analysis of genome-wide association studies (GWAS) is based on testing each position in the genome individually for statistical significance of its association with the phenotype under investigation. To improve the analysis of GWAS, we propose a combination of machine learning and statistical testing that takes correlation structures within the set of SNPs under investigation in a mathematically well-controlled manner into account. The novel two-step algorithm, COMBI, first trains a support vector machine to determine a subset of candidate SNPs and then performs hypothesis tests for these SNPs together with an adequate threshold correction. Applying COMBI to data from a WTCCC study (2007) and measuring performance as replication by independent GWAS published within the 2008-2015 period, we show that our method outperforms ordinary raw p-value thresholding as well as other state-of-the-art methods. COMBI presents higher power and precision than the examined alternatives while yielding fewer false (i.e. non-replicated) and more true (i.e. replicated) discoveries when its results are validated on later GWAS studies. More than 80\% of the discoveries made by COMBI upon WTCCC data have been validated by independent studies. Implementations of the COMBI method are available as a part of the GWASpi toolbox 2.0.},
  language  = {en}
}
@article{ZienRaetschMikaetal.2000,
  author    = {Zien, Alexander and R{\"a}tsch, Gunnar and Mika, Sebastian and Sch{\"o}lkopf, Bernhard and Lengauer, Thomas and M{\"u}ller, Klaus-Robert},
  title     = {Engineering support vector machine kernels that recognize translation initiation sites},
  issn      = {1367-4803},
  year      = {2000},
  language  = {en}
}
@article{WuebbelerZieheMackertetal.2000,
  author    = {W{\"u}bbeler, G. and Ziehe, Andreas and Mackert, B.-M. and M{\"u}ller, Klaus-Robert and Trahms, L. and Curio, Gabriel},
  title     = {Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans},
  year      = {2000},
  language  = {en}
}
@article{ZieheMuellerNolteetal.2000,
  author    = {Ziehe, Andreas and M{\"u}ller, Klaus-Robert and Nolte, G. and Mackert, B.-M. and Curio, Gabriel},
  title     = {Artifact reduction in magnetoneurography based on time-delayed second-order correlations},
  year      = {2000},
  language  = {en}
}
@article{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and Mika, Sebastian and Onoda, T. and M{\"u}ller, Klaus-Robert},
  title     = {Robust ensemble learning},
  isbn      = {0-262-19448-1},
  year      = {2000},
  language  = {en}
}
@article{MuellerWotkeBork2000,
  author    = {M{\"u}ller, Klaus and Wotke, Albert and Bork, Hans-Rudolf},
  title     = {Ans{\"a}tze f{\"u}r eine dauerhaft umweltgerechte landwirtschaftliche Produktion: Modellgebiet Nordost- Deutschland (GRANO)},
  year      = {2000},
  language  = {de}
}
@article{PetersenMueller2000,
  author    = {Petersen, Hans-Georg and M{\"u}ller, Klaus},
  title     = {GRANO - Projektbereich 1: Dezentrale Bewertungs- und Koordinationsmechanismen. Teilprojekt 2: Honorierung {\"o}kologischer Leistungen},
  year      = {2000},
  language  = {de}
}
@book{RaetschSchoelkopfMikaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Mika, Sebastian and M{\"u}ller, Klaus-Robert},
  title     = {SVM and boosting : one class},
  series = {GMD-Report},
  volume    = {119},
  journal   = {GMD-Report},
  publisher = {GMD-Forschungszentrum Informationstechnik},
  address   = {Sankt Augustin},
  pages     = {36 S.},
  year      = {2000},
  language  = {en}
}
@book{TsudaSugiyamaMueller2000,
  author    = {Tsuda, Koji and Sugiyama, Masashi and M{\"u}ller, Klaus-Robert},
  title     = {Subspace information criterion for non-quadratice regularizers : model selection for sparse regressors},
  series = {GMD-Report},
  volume    = {120},
  journal   = {GMD-Report},
  publisher = {GMD-Forschungszentrum Informationstechnik},
  address   = {Sankt Augustin},
  pages     = {36 S.},
  year      = {2000},
  language  = {en}
}
@article{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and M{\"u}ller, Klaus-Robert and Mika, Sebastian},
  title     = {V-Arc : ensemble learning in the preence of outliers},
  year      = {2000},
  language  = {en}
}
@article{ParraSpenceSajdaetal.2000,
  author    = {Parra, L. and Spence, C. and Sajda, P. and Ziehe, Andreas and M{\"u}ller, Klaus-Robert},
  title     = {Unmixing hyperspectral data},
  year      = {2000},
  language  = {en}
}
@article{KohlmorgenMuellerRittwegeretal.2000,
  author    = {Kohlmorgen, J. and M{\"u}ller, Klaus-Robert and Rittweger, J. and Pawelzik, K.},
  title     = {Identification of nonstationary dynamics in physiological recordings},
  year      = {2000},
  language  = {en}
}
@article{MikaRaetschWestonetal.2000,
  author    = {Mika, Sebastian and R{\"a}tsch, Gunnar and Weston, J. and Sch{\"o}lkopf, B. and Smola, Alexander J. and M{\"u}ller, Klaus-Robert},
  title     = {Invariant feature extraction and classification in kernel spaces},
  year      = {2000},
  language  = {en}
}
@article{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and Mika, Sebastian and Onoda, T. and M{\"u}ller, Klaus-Robert},
  title     = {Robust ensemble learning for data analysis},
  year      = {2000},
  language  = {en}
}
@article{OnodaRaetschMueller2000,
  author    = {Onoda, T. and R{\"a}tsch, Gunnar and M{\"u}ller, Klaus-Robert},
  title     = {An asymptotic analysis and improvement of AdaBoost in the binary classification case (in Japanese)},
  year      = {2000},
  language  = {en}
}
@book{PetersenMueller1999,
  author    = {Petersen, Hans-Georg and M{\"u}ller, Klaus},
  title     = {Volkswirtschaftspolitik},
  series = {Volkswirtschaftslehre im {\"U}berblick},
  volume    = {3},
  journal   = {Volkswirtschaftslehre im {\"U}berblick},
  publisher = {Vahlen},
  address   = {M{\"u}nchen},
  isbn      = {3-8006-1847-8},
  pages     = {372 S.},
  year      = {1999},
  language  = {de}
}
@article{DornhegeBlankertzKrauledatetal.2006,
  author    = {Dornhege, Guido and Blankertz, Benjamin and Krauledat, Matthias and Losch, Florian and Curio, Gabriel and M{\"u}ller, Klaus-Robert},
  title     = {Combined optimization of spatial and temporal filters for improving brain-computer interfacing},
  series = {IEEE transactions on bio-medical electronics},
  volume    = {53},
  journal   = {IEEE transactions on bio-medical electronics},
  number    = {11},
  publisher = {IEEE},
  address   = {New York},
  issn      = {0018-9294},
  doi       = {10.1109/TBME.2006.883649},
  pages     = {2274 -- 2281},
  year      = {2006},
  abstract  = {Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output de ice by bypassing conventional motor output pathways of nerves and muscles. Therefore they could provide a new communication and control option for paralyzed patients. Modern BCI technology is essentially based on techniques for the classification of single-trial brain signals. Here we present a novel technique that allows the simultaneous optimization of a spatial and a spectral filter enhancing discriminability rates of multichannel EEG single-trials. The evaluation of 60 experiments involving 22 different subjects demonstrates the significant superiority of the proposed algorithm over to its classical counterpart: the median classification error rate was decreased by 11\%. Apart from the enhanced classification, the spatial and/or the spectral filter that are determined by the algorithm can also be used for further analysis of the data, e.g., for source localization of the respective brain rhythms.},
  language  = {en}
}
@incollection{PetersenMuellerHuetheretal.2011,
  author    = {Petersen, Hans-Georg and M{\"u}ller, Klaus and H{\"u}ther, Michael and Sowada, Christoph and Christev, Atanas and FitzRoy, Felix},
  title     = {Taxes, transfers, economic efficiency and social justice : essays on public economics 1979 - 2009. - Chapter 4: Economics of transformation},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50400},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2011},
  abstract  = {This volume contains the articles and papers which predominately have been published in international journals or edited volumes in the period from 1979 to 2009. The single articles reflect the main research areas of the editor and his co-authors who were engaged at the Kiel Institute of World Economics, the Johannes-Kepler-University Linz/Austria, the Justus- Liebig-University Giessen, the University of Potsdam, and the German Institute for Economic Research (DIW Berlin).},
  language  = {en}
}
@incollection{PetersenHinterbergerMueller2011,
  author    = {Petersen, Hans-Georg and Hinterberger, Friedrich and M{\"u}ller, Klaus},
  title     = {Taxes, transfers, economic efficiency and social justice : essays on public economics 1979 - 2009. - Chapter 1: Redistribution - theory and measurement},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-50379},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2011},
  abstract  = {This volume contains the articles and papers which predominately have been published in international journals or edited volumes in the period from 1979 to 2009. The single articles reflect the main research areas of the editor and his co-authors who were engaged at the Kiel Institute of World Economics, the Johannes-Kepler-University Linz/Austria, the Justus- Liebig-University Giessen, the University of Potsdam, and the German Institute for Economic Research (DIW Berlin).},
  language  = {en}
}
@book{MuellerNagelPetersen1996,
  author    = {M{\"u}ller, Klaus and Nagel, Thomas and Petersen, Hans-Georg},
  title     = {{\"O}kosteuerreform und Senkung der direkten Abgaben : zu einer Neugestaltung des deutschen Steuer- und Transfersystems},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-16116},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {1996},
  abstract  = {Aus der Einleitung: Angesichts der erkannten Defizite des deutschen Steuer- und Transfersystems r{\"u}cken Forderungen nach einer grundlegenden Umgestaltung in j{\"u}ngster Vergangenheit verst{\"a}rkt in das Zentrum der {\"o}ffentlichen Diskussion. So werden einerseits infolge der zahlreichen verfassungsgerichtlichen {\"A}nderungsvorgaben neben der bereits in Angriff genommenen einkommensteuerlichen Freistellung des Existenzminimums auch vielf{\"a}ltige Anpassungen in Verm{\"o}gen-, Erbschaft- und Grundsteuern notwendig. Gleichzeitig erscheinen Maßnahmen zur Verbesserung der Anreizstruktur erforderlich, die wiederum erhebliche R{\"u}ckwirkungen auf die zuk{\"u}nftige Struktur des Einkommensteuertarifs (insbesondere dessen Grenzsteuersatzverlauf) haben d{\"u}rften. Andererseits forciert die Vielzahl der festzustellenden Umweltprobleme die Forderung nach einer instrumentalen Neuorientierung mit verst{\"a}rkter Betonung des Einsatzes von Lenkungsabgaben. Zur Verwendung der aus umweltorientierten Abgaben resultierenden Einnahmen wird vorgeschlagen, diese in gleicher H{\"o}he in Form kompensierender Senkungen der Einkommensteuer an die Steuerpflichtigen weiterzugeben, so daß eine Erh{\"o}hung der volkswirtschaftlichen Steuerquote ausgeschlossen wird. Diese Umstrukturierung des Steuersystems weg von direkten und hin zu indirekten Steuern ließe sich zugleich verbinden mit einer allgemeinen Sicherung eines Grundeinkommens in der Form, daß die existierende Sozialhilfe durch eine "Negative Einkommensteuer" ersetzt w{\"u}rde. Diese Fundamentalreform des Steuerund Transfersystems k{\"o}nnte nicht nur zu einer wesentlichen Verbesserung {\"o}konomischer Anreizwirkungen beitragen, sondern zugleich {\"u}ber die ausgel{\"o}sten Lenkungswirkungen zu einer modernen, {\"o}kologieorientierten Wirtschaftsstruktur f{\"u}hren. Als Kompensationsmaßnahmen sind auch nachhaltige Verringerungen der Lohnnebenkosten denkbar, die die Standortbedingungen f{\"u}r die Unternehmen in Deutschland deutlich verbessern k{\"o}nnten.},
  language  = {de}
}