Institut für Informatik und Computational Science
Refine
Has Fulltext
- no (563) (remove)
Year of publication
Document Type
- Article (563) (remove)
Is part of the Bibliography
- yes (563)
Keywords
- Answer set programming (10)
- answer set programming (8)
- Answer Set Programming (6)
- Machine learning (3)
- formal languages (3)
- monitoring (3)
- Analytical models (2)
- Automata systems (2)
- E-learning (2)
- Equilibrium logic (2)
- Event mapping (2)
- Fault tolerance (2)
- Lindenmayer systems (2)
- Non-monotonic reasoning (2)
- Parameterized complexity (2)
- Process mining (2)
- ResNet (2)
- Theory (2)
- bioinformatics (2)
- cooperating systems (2)
- e-learning (2)
- knowledge representation and nonmonotonic reasoning (2)
- online learning (2)
- radhard design (2)
- security (2)
- (FPGA) (1)
- (SET) count rate (1)
- 2-tag system (1)
- 3D modeling (1)
- 3D visualization (1)
- AODV (1)
- ASIC (1)
- Absorbed dose (1)
- Abstraction (1)
- Access control (1)
- Active evaluation (1)
- Ad hoc routing (1)
- Adaptivity (1)
- Advanced Video Codec (AVC) (1)
- Aggregates (1)
- Algorithm configuration (1)
- Algorithm portfolios (1)
- Algorithms (1)
- Android hybrid apps (1)
- Animal building (1)
- Anti-cancer drugs (1)
- Argumentation structure (1)
- Augmentation (1)
- Augmented and virtual reality (1)
- Automated parallelization (1)
- Automatically controlled windows (1)
- Backdoors (1)
- Batch processing (1)
- Bean (1)
- Benchmark testing; (1)
- Berliner Modell (1)
- Blind users (1)
- Boolean logic models (1)
- Business process intelligence (1)
- CP-Logic (1)
- Campus (1)
- Circuit faults (1)
- Clock tree (1)
- Cloud (1)
- Cluster Computing (1)
- Cluster computing (1)
- Code generation (1)
- Coherent phonons (1)
- Combinatorial multi-objective optimization (1)
- Complex optimization (1)
- Complexity (1)
- Computational complexity (1)
- Computational grid (1)
- Computer security (1)
- Computing with DNA (1)
- Conformant Planning (1)
- Conrad Hal Waddington (1)
- Constraint satisfaction (1)
- Context awareness (1)
- Contextualized learning (1)
- Continuous Testing (1)
- Continuous Versioning (1)
- Convolution (1)
- Course timetabling (1)
- Customer ownership (1)
- D-galactosamine (1)
- DMR (1)
- DNA hairpin formation (1)
- DRMAA (1)
- DRMS (1)
- Data federation (1)
- Database (1)
- Deal of the Day (1)
- Debugging (1)
- Decidability (1)
- Declare (1)
- Deep learning (1)
- Denotational semantics (1)
- Design (1)
- Design for testability (DFT) (1)
- Digital image analysis (1)
- Digitale Medien (1)
- Digitalization (1)
- Dose rate (1)
- Double cell upsets (DCUs) (1)
- Dynamical X-ray theory (1)
- E-teaching (1)
- EDC (1)
- EEG (1)
- Educational game (1)
- Educational timetabling (1)
- Encoding (1)
- Engines (1)
- Entity Linking (1)
- Epigenetic landscape (1)
- Epistemic Logic Programs (1)
- Evaluation (1)
- Evolution (1)
- Experimentation (1)
- Explicit negation (1)
- Explore-first Programming (1)
- Extensibility (1)
- Extreme Model-Driven Development (1)
- FEDC (1)
- FPGA (1)
- Fault Localization (1)
- Fault tolerant systems (1)
- Feature extraction (1)
- Field programmable gate arrays (1)
- Finite automata (1)
- Flip-flops (1)
- Forgetting (1)
- Freshmen (1)
- GERBIL (1)
- Gesture input (1)
- Green computing (1)
- Grounded theory (1)
- H.264 (1)
- Hairpin completions (1)
- Hairpin reductions (1)
- Hardware accelerator (1)
- Heat diffusion (1)
- Hierarchically configurable mask register (1)
- Histograms (1)
- Hochschul-Cloud (1)
- Hochschullehre (1)
- Https traffic (1)
- Human Factors (1)
- Hurricane Sandy (1)
- IaaS (1)
- Identifiers (1)
- Image and video stylization (1)
- Image resolution (1)
- Imperative calculi (1)
- Improving classroom (1)
- Incoherent phonons (1)
- Incremental answer set programming (1)
- Inference (1)
- Information federation (1)
- Information integration (1)
- Information retrieval (1)
- Information security (1)
- Insurance industry (1)
- Integrated circuit modeling (1)
- Internet of Things (1)
- Job monitoring (1)
- Job submission (1)
- Kernel (1)
- Kernelization (1)
- Key input (1)
- Knowledge representation (1)
- L systems (1)
- LBA problem (1)
- Landmark visibility (1)
- Literature mining (1)
- Liver neoplasms (1)
- Load Balancing (1)
- Localization (1)
- Location awareness (1)
- Logic programming (1)
- Loss (1)
- Low Latency (1)
- Loyalty (1)
- MQTT (1)
- Machine Learning (1)
- Markov processes (1)
- Masking of X-values (1)
- Media in education (1)
- Meta-Programming (1)
- Metric learning (1)
- Minimal perturbation problems (1)
- Mobile application (1)
- Mobile devices (1)
- Mobile learning (1)
- Model checking (1)
- Modeling (1)
- Modelling (1)
- Multi-objective optimization (1)
- Multi-sided platforms (1)
- Multiple interpretation scheme (1)
- N-temperature model (1)
- Nash equilibrium (1)
- Natural language processing (1)
- Natural ventilation (1)
- Network (1)
- Network security (1)
- Neural networks (1)
- Non-Monotonic (1)
- Nonmonotonic reasoning (1)
- OCCI (1)
- OSSE (1)
- Operation problem (1)
- Optimization (1)
- Parallel SAT solving (1)
- Parallel job execution time estimation (1)
- Particle detector (1)
- Pedagogical issues (1)
- Pedestrian navigation (1)
- Performance Evaluation (1)
- Personalization (1)
- Pervasive computing (1)
- Pervasive game (1)
- Pervasive learning (1)
- Phantoms (1)
- Planar tactile display (1)
- Plant identification (1)
- Polarization (1)
- Preference Handling (1)
- Process model analysis (1)
- Product lifecycle management (1)
- Programming (1)
- Programming by optimization (1)
- Prototyping (1)
- RADFET (1)
- RADFETs (1)
- REST (1)
- RSA triangle (1)
- Radiation hardness (1)
- Random access memory (1)
- Ranking (1)
- Reasoning (1)
- Region of Interest (1)
- Reproducibility of results (1)
- Reversibility (1)
- SET pulsewidth distribution (1)
- SOA (1)
- SWOT (1)
- SaaSAbstract (1)
- Scalability (1)
- Scale-invariant feature transform (SIFT) (1)
- Scientific images (1)
- Screen reader (1)
- Seamless learning (1)
- Search problems (1)
- Security (1)
- Self-adaptive MPSoC (1)
- Semantic data (1)
- Semantic web (1)
- Semilinearity property (1)
- Sequence embeddings (1)
- Service orientation (1)
- Sharing (1)
- Signal processing (1)
- Signaling transduction networks (1)
- Simulations (1)
- Single event effect (1)
- Single event upsets (1)
- Single-event transient (SET) (1)
- Splicing (1)
- Splicing processor (1)
- Statistical relational learning (1)
- Stochastic relational process (1)
- Strong equivalence (1)
- Structural equation modeling (1)
- Systems biology (1)
- Systems of parallel communicating (1)
- TMR (1)
- TPACK (1)
- Theory formation (1)
- Thermoelasticity (1)
- Time series (1)
- Tomography (1)
- Tools (1)
- Tracking (1)
- Traffic data (1)
- Tree decomposition (1)
- Treewidth (1)
- Treewidth-aware reductions (1)
- Triple modular redundancy (TMR) (1)
- Tumor types (1)
- Turing machine (1)
- Type and effect systems (1)
- UAV imagery (1)
- UX (1)
- Ubiquitous learning (1)
- Ultrafast dynamics (1)
- Unary languages (1)
- Uniform Access Principle (1)
- Usability testing (1)
- User submission pattern (1)
- User-centred design (1)
- VGG16 (1)
- Value network (1)
- Verification (1)
- Visual metaphor (1)
- Wireless Sensor Networks (1)
- Word embeddings (1)
- X-masking (1)
- X-ray computed (1)
- X-values (1)
- accepting grammars (1)
- action and change (1)
- activity (1)
- acute liver failure (1)
- acyclicity properties (1)
- adversarial classification (1)
- algorithm schedules (1)
- algorithms (1)
- analysis (1)
- annealing (1)
- anti-cancer drugs (1)
- anxiety (1)
- approximate model counting (1)
- architecture (1)
- argument mining (1)
- arousal (1)
- artistic rendering (1)
- asynchrounous design (1)
- autism (1)
- automata (1)
- automated guided vehicle routing (1)
- automated planning (1)
- automatic feedback (1)
- behavioral abstraction (1)
- belief merging (1)
- belief revision (1)
- benchmark (1)
- bibliometric analysis (1)
- block representation (1)
- bootstrapping (1)
- brain-computer interface (1)
- bundled data (1)
- camera sensor (1)
- car assembly operations (1)
- cellular automata (1)
- circuit Faults (1)
- citation analysis (1)
- click controller (1)
- clocks (1)
- co-citation analysis (1)
- co-occurrence analysis (1)
- code generation (1)
- coherence relation (1)
- collaborative learning (1)
- combinatorial optimization problems (1)
- combined task and motion planning (1)
- common spatial patterns (1)
- competition (1)
- compliance (1)
- computer science education (1)
- computer vision (1)
- concession (1)
- concurrent checking (1)
- conductive argument (1)
- connective (1)
- consistency (1)
- consistency checking (1)
- consistency measures (1)
- context-free grammar (1)
- context-sensitive (1)
- contrast (1)
- controlled vocabularies (1)
- corpus analysis (1)
- correlated errors (1)
- course timetabling (1)
- craters (1)
- crop (1)
- decidability questions (1)
- declarative problem solving (1)
- deep learning (1)
- deep neural networks (1)
- deep residual networks (1)
- degree of non-context-freeness (1)
- degree of non-regularity (1)
- degree of non-regulation (1)
- depression (1)
- design flow (1)
- determinism (1)
- detrending (1)
- developmental systems (1)
- diagnosis (1)
- domain-specific APIs (1)
- drug discovery (1)
- drug-sensitivity prediction (1)
- dynamic service binding (1)
- eLectures (1)
- economic ripples (1)
- edge computing (1)
- educational timetabling (1)
- embedded systems (1)
- emission factor (1)
- endothelin (1)
- endothelin-converting enzyme (1)
- ensemble kalman filter (1)
- ensemble methods (1)
- error propagation (1)
- evaluation (1)
- event-related desynchronization (1)
- evolution (1)
- external ambiguity (1)
- extreme weather (1)
- face tracking (1)
- facial expression (1)
- fading (1)
- fault tolerance (1)
- field-programmable gate array (1)
- finite model computation (1)
- finite state sequential transducers (1)
- firmware update (1)
- formal (1)
- formal argumentation systems (1)
- functions (1)
- gap-filling (1)
- geovisualization (1)
- gradient boosting (1)
- grammar (1)
- greenhouse gas (1)
- hardware accelerator (1)
- hardware architecture (1)
- higher education (1)
- hybrid solving (1)
- ice harboring (1)
- image classification (1)
- image processing (1)
- image recognition (1)
- imaging (1)
- impacts (1)
- incremental SVM (1)
- informal logic (1)
- information flow control (1)
- internal ambiguity (1)
- intrusion detection (1)
- irradiation (1)
- kidney cancer (1)
- knowledge representation and reasoning (1)
- latches (1)
- leftmost derivations (1)
- lesson planning (1)
- lesson preparation (1)
- linear programming (1)
- logic programming (1)
- logic programming methodology and applications (1)
- logic-based modeling (1)
- loop formulas (1)
- loose programming (1)
- loss propagation (1)
- lunar exploration (1)
- machine learning (1)
- machine learning algorithms (1)
- manipulation planning (1)
- measure development (1)
- media (1)
- metabolic network (1)
- metabolism (1)
- metabolomics (1)
- metadata (1)
- metastasis (1)
- natural disasters (1)
- natural language generation (1)
- neighborhood (1)
- neural networks (1)
- neutral endopeptidase (1)
- nonphotorealistic rendering (NPR) (1)
- o-ambiguity (1)
- on-farm evaluation (1)
- pMOS radiation dosimeter (1)
- parallel processing (1)
- parallel rewriting (1)
- parity aggregate operator (1)
- parsing (1)
- pdf forms (1)
- perception (1)
- perception differences (1)
- physical computing (1)
- planning (1)
- plug-ins (1)
- policy evaluation (1)
- portfolio-based solving (1)
- predictive models (1)
- premise acceptability (1)
- process model alignment (1)
- process modeling (1)
- program encodings (1)
- programmed grammars (1)
- projection (1)
- proof complexity (1)
- pruritus (1)
- pulse stretching inverters (1)
- quality of life (1)
- quantum (1)
- random forest (1)
- real arguments (1)
- real-time (1)
- real-time mapping (1)
- reference (1)
- referential effectiveness (1)
- regression (1)
- regular language (1)
- relevance (1)
- reliability (1)
- reliability analysis (1)
- resources (1)
- restricted parallelism (1)
- satisfiability (1)
- selective fault tolerance (1)
- self-adaptive multiprocessing system (1)
- self-checking (1)
- semantic web (1)
- sensitivity (1)
- simplicity (1)
- single event upset (1)
- single event upsets (1)
- single-event transient (1)
- single-trial-analysis (1)
- site-specific weed management (1)
- sleep quality (1)
- smart farming (1)
- soft errors (1)
- solar particle event (1)
- space missions (1)
- stable model semantics (1)
- state complexity (1)
- static analysis (1)
- static prediction games (1)
- strong equivalence (1)
- sufficiency (1)
- suicidal ideations (1)
- supply chains (1)
- support system (1)
- support vector machines (1)
- tableau calculi (1)
- teacher training (1)
- teaching (1)
- technical notes and rapid communications (1)
- tele-teaching (1)
- test response compaction (1)
- theory (1)
- theory of computation (1)
- timing (1)
- tools (1)
- transient Faults (1)
- transient analysis (1)
- triangulated irregular networks (1)
- triple modular redundancy (1)
- unfounded sets (1)
- user experience (1)
- verification (1)
- video annotation (1)
- virtual mobility (1)
- wheat crops (1)
- work productivity (1)
- xAPI (1)
- yellow rust (1)
Institute
We study the complexity of two-person constraint satisfaction games. An instance of such a game is given by a collection of constraints on overlapping sets of variables, and the two players alternately make moves assigning values from a finite domain to the variables, in a specified order. The first player tries to satisfy all constraints, while the other tries to break at least one constraint: the goal is to decide whether the first player has a winning strategy. We show that such games can be conveniently represented by a logical form of quantified constraint satisfaction, where an instance is given by a first-order sentence in which quantifiers alternate and the quantifier-free part is a conjunction of (positive) atomic formulas; the goal is to decide whether the sentence is true. While the problem of deciding such a game is PSPACE-complete in general, by restricting the set of allowed constraint predicates, one can obtain infinite classes of constraint satisfaction games of lower complexity. We use the quantified constraint satisfaction framework to study how the complexity of deciding such a game depends on the parameter set of allowed predicates. With every predicate. one can associate certain predicate-preserving operations, called polymorphisms. We show that the complexity of our games is determined by the surjective polymorphisms of the constraint predicates. We illustrate how this result can be used by identifying the complexity of a wide variety of constraint satisfaction games.
Existing telecommunication networks and classical roles of operators are subject to fundamental change. Many network operators are currently seeking for new sources to generate revenue by exposing network capabilities to 3rd party service providers. At the same time we can observe that services on the World Wide Web (WWW) are becoming mature in terms of the definition of APIs that are offered towards other services. The combinations of those services are commonly referred to as Web 2.0 mash-ups. Rapid service design and creation becomes therefore important to meet the requirements in a changing technology and competitive market environment. This report describes our approach to include Next Generation Networks (NGN)-based telecommunications application enabler into complex services by defining a service broker that mediates between 3rd party applications and NGN service enablers. It provides policy-driven orchestration mechanisms for service enablers, a service authorization functionality, and a service discovery interface for Service Creation Environments. The work has been implemented as part of the Open SOA Telco Playground testbed at Fraunhofer FOKUS.
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.
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
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
Through the use of next generation sequencing (NGS) technology, a lot of newly sequenced organisms are now available. Annotating those genes is one of the most challenging tasks in sequence biology. Here, we present an automated workflow to find homologue proteins, annotate sequences according to function and create a three-dimensional model.
We address classification problems for which the training instances are governed by an input distribution that is allowed to differ arbitrarily from the test distribution-problems also referred to as classification under covariate shift. We derive a solution that is purely discriminative: neither training nor test distribution are modeled explicitly. The problem of learning under covariate shift can be written as an integrated optimization problem. Instantiating the general optimization problem leads to a kernel logistic regression and an exponential model classifier for covariate shift. The optimization problem is convex under certain conditions; our findings also clarify the relationship to the known kernel mean matching procedure. We report on experiments on problems of spam filtering, text classification, and landmine detection.
We address classification problems for which the training instances are governed by an input distribution that is allowed to differ arbitrarily from the test distribution-problems also referred to as classification under covariate shift. We derive a solution that is purely discriminative: neither training nor test distribution are modeled explicitly. The problem of learning under covariate shift can be written as an integrated optimization problem. Instantiating the general optimization problem leads to a kernel logistic regression and an exponential model classifier for covariate shift. The optimization problem is convex under certain conditions; our findings also clarify the relationship to the known kernel mean matching procedure. We report on experiments on problems of spam filtering, text classification, and landmine detection.
Compressions and extensions
(1998)
Circumscribing inconsistency
(1997)