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Wolfgang Maass
Author information
- Technische Universität Graz, Austria
Other persons with the same name
- Wolfgang Maass 0002 — Hochschule Furtwangen
2010 – today
- 2013
[j85]Stefan Habenschuss, Helmut Puhr, Wolfgang Maass: Emergence of Optimal Decoding of Population Codes Through STDP. Neural Computation 25(6): 1371-1407 (2013)- [c98]Tobias Kowatsch, Wolfgang Maass: Towards Empirically Validated Ubiquitous Information Systems: Results From A Pretest And Three Empirical Studies. ECIS 2013: 198
- 2012
- [j84]Jonas S. Almeida, Alexander Grüneberg, Wolfgang Maass, Susana Vinga: Fractal MapReduce decomposition of sequence alignment. Algorithms for Molecular Biology 7: 12 (2012)
- [j83]Helmut Hauser, Auke Jan Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer, Wolfgang Maass: The role of feedback in morphological computation with compliant bodies. Biological Cybernetics 106(10): 595-613 (2012)
- [j82]Wolfgang Maass, Upkar Varshney: Design and evaluation of Ubiquitous Information Systems and use in healthcare. Decision Support Systems 54(1): 597-609 (2012)
- [c97]Wolfgang Maass, Sabine Janzen: Towards Design Engineering of Ubiquitous Information Systems. DESRIST 2012: 206-219
- [c96]Wolfgang Maass, Tobias Kowatsch, Sabine Janzen, Andreas Filler: Applying Situation-Service Fit to Physical Environments Enhanced by Ubiquitous Information Systems. ECIS 2012: 221
- [c95]Sandeep Purao, Wolfgang Maass, Veda C. Storey, Bernard J. Jansen, Madhu C. Reddy: An Integrated Conceptual Model to Incorporate Information Tasks in Workflow Models. ER 2012: 487-500
- [c94]Dimitri Probst, Wolfgang Maass, Henry Markram, Marc-Oliver Gewaltig: Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball. ICANN (1) 2012: 209-216
- [c93]Tobias Kowatsch, Wolfgang Maass: Critical Privacy Factors of Internet of Things Services: An Empirical Investigation with Domain Experts. MCIS 2012: 200-211
- 2011
- [j81]Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass: Biologically inspired kinematic synergies enable linear balance control of a humanoid robot. Biological Cybernetics 104(4-5): 235-249 (2011)
- [j80]Helmut Hauser, Auke Jan Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer, Wolfgang Maass: Towards a theoretical foundation for morphological computation with compliant bodies. Biological Cybernetics 105(5-6): 355-370 (2011)
- [j79]Helena F. Deus, Miria C. Correa, Romesh Stanislaus, Maria Miragaia, Wolfgang Maass, Hermínia de Lencastre, Ronan Fox, Jonas S. Almeida: S3QL: A distributed domain specific language for controlled semantic integration of life sciences data. BMC Bioinformatics 12: 285 (2011)
- [j78]Tobias Kowatsch, Wolfgang Maass: A design model for knowledge-based pricing services in the retail industry. Int. J. Web Eng. Technol. 6(4): 302-319 (2011)
- [j77]Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass: Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons. PLoS Computational Biology 7(11) (2011)
- [j76]Dejan Pecevski, Lars Buesing, Wolfgang Maass: Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons. PLoS Computational Biology 7(12) (2011)
- [c92]Wolfgang Maass, Sabine Janzen: Pattern-Based Approach for Designing with Diagrammatic and Propositional Conceptual Models. DESRIST 2011: 192-206
- [c91]Wolfgang Maass, Tobias Kowatsch, Sabine Janzen, Upkar Varshney: A natural language technology-enhanced mobile sales assistant for in-store shopping situations. ECIS 2011
- [c90]Wolfgang Maass, Veda C. Storey, Tobias Kowatsch: Effects of External Conceptual Models and Verbal Explanations on Shared Understanding in Small Groups. ER 2011: 92-103
- [c89]Julian R. Eichhoff, Wolfgang Maass: Representation and Reuse of Design Knowledge: An Application for Sales Call Support. KES (1) 2011: 387-396
- [c88]Julian R. Eichhoff, Wolfgang Maass: Distributed Imprecise Design Knowledge on the Semantic Web. URSW 2011: 101-104
- 2010
- [j75]Jonas S. Almeida, Helena F. Deus, Wolfgang Maass: S3DB core: a framework for RDF generation and management in bioinformatics infrastructures. BMC Bioinformatics 11: 387 (2010)
- [j74]Tobias Kowatsch, Wolfgang Maass: In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences. Computers in Human Behavior 26(4): 697-704 (2010)
- [j73]Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass: Reward-Modulated Hebbian Learning of Decision Making. Neural Computation 22(6): 1399-1444 (2010)
- [j72]Lars Buesing, Wolfgang Maass: A Spiking Neuron as Information Bottleneck. Neural Computation 22(8): 1961-1992 (2010)
- [j71]Stefan Klampfl, Wolfgang Maass: A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Computation 22(12): 2979-3035 (2010)
- [c87]Sabine Janzen, Tobias Kowatsch, Wolfgang Maass: A Methodology for Content-Centered Design of Ambient Environments. DESRIST 2010: 210-225
- [c86]Tobias Kowatsch, Wolfgang Maass: Online vs. In-Store Shopping: How Problem Solving Strategies of Decision Support Systems influence Confidence in Purchase Decisions. ECIS 2010
- [c85]Wolfgang Maass, Andreas Filler: Supporting Cooking Tasks by a Smart Formulation Table. Intelligent Environments 2010: 185-190
- [c84]Sabine Janzen, Tobias Kowatsch, Wolfgang Maass, Andreas Filler: Linkage of Heterogeneous Knowledge Resources within In-Store Dialogue Interaction. International Semantic Web Conference (2) 2010: 145-160
2000 – 2009
- 2009
- [j70]Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Computation 21(4): 911-959 (2009)
- [j69]Andreas Steimer, Wolfgang Maass, Rodney J. Douglas: Belief Propagation in Networks of Spiking Neurons. Neural Computation 21(9): 2502-2523 (2009)
- [c83]Gerhard Neumann, Wolfgang Maass, Jan Peters: Learning complex motions by sequencing simpler motion templates. ICML 2009: 95
- [c82]Tobias Kowatsch, Wolfgang Maass, Elgar Fleisch: The Use Of Free And Paid Digital Product Reviews On Mobile Devices In In-Store Purchase Situations. MCIS 2009: 12
- [c81]Wolfgang Maass, Tobias Kowatsch: Let's Get Married: Adoption Of Interactive Product Information For Bundle Purchases By Tangible User Interfaces. MCIS 2009: 20
- [c80]Stefan Klampfl, Wolfgang Maass: Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. NIPS 2009: 988-996
- [c79]Robert A. Legenstein, Steven M. Chase, Andrew B. Schwartz, Wolfgang Maass: Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning. NIPS 2009: 1105-1113
- [c78]Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass: STDP enables spiking neurons to detect hidden causes of their inputs. NIPS 2009: 1357-1365
- [c77]Sabine Janzen, Wolfgang Maass: Ontology-Based Natural Language Processing for In-store Shopping Situations. ICSC 2009: 361-366
- [c76]Wolfgang Maass, Sabine Janzen: A Pattern-based Ontology Building Method for Ambient Environments. WOP 2009
- 2008
- [j68]Wolfgang Maass, Upkar Varshney: Preface to the Focus Theme Section: 'Smart Products'. Electronic Markets 18(3): 211-215 (2008)
- [j67]Dimitris Apostolou, Gregoris Mentzas, Bertin Klein, Andreas Abecker, Wolfgang Maass: Interorganizational Knowledge Exchanges. IEEE Intelligent Systems 23(4): 65-74 (2008)
- [j66]Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. Neural Computation 20(1): 288-309 (2008)
- [j65]Peter Auer, Harald Burgsteiner, Wolfgang Maass: A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 21(5): 786-795 (2008)
- [j64]Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback. PLoS Computational Biology 4(10) (2008)
- [c75]Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
- [c74]Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
- [c73]Tobias Kowatsch, Wolfgang Maass: The Impact of Pre-Defined Terms on the Vocabulary of Collaborative Indexing Systems. ECIS 2008: 2136-2147
- [c72]Wolfgang Maass, Tobias Kowatsch: Adoption of Dynamic Product Information: An Empirical Investigation of Supporting Purchase Decisions on Product Bundles. ECIS 2008: 2568-2579
- [c71]Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass: Hebbian Learning of Bayes Optimal Decisions. NIPS 2008: 1169-1176
- [c70]Wolfgang Maass, Andreas Filler, Jan Seeburger: Product-Centered Mobile Reasoning Support for Physical Shopping Situations. TAMoCo 2008: 54-63
- [e2]Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass (Eds.): Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008. Dagstuhl Seminar Proceedings 08041, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
- 2007
- [j63]Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe: Special issue on echo state networks and liquid state machines. Neural Networks 20(3): 287-289 (2007)
- [j62]Robert A. Legenstein, Wolfgang Maass: Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20(3): 323-334 (2007)
- [j61]Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational Aspects of Feedback in Neural Circuits. PLoS Computational Biology 3(1) (2007)
- [c69]Wolfgang Maass, Andreas Filler, Sabine Janzen: Reasoning on Smart Products in Consumer Good Domains. AmI Workshops 2007: 165-173
- [c68]
- [c67]Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass: Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. ECML 2007: 250-261
- [c66]Wolfgang Maass, Matthias Lampe: Integration of Standardized and Non-Standardized Product Data. GI Jahrestagung (1) 2007: 141-146
- [c65]Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass: Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots. Humanoids 2007: 73-80
- [c64]Lars Buesing, Wolfgang Maass: Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons. NIPS 2007
- [c63]Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS 2007
- [c62]Wolfgang Maass, Tobias Kowatsch, Timo Münster: Vocabulary Patterns in Free-for-all Collaborative Indexing Systems. ESOE 2007: 45-57
- 2006
- [j60]Florian Stahl, Wolfgang Maass: Adoption and Diffusion in Electronic Markets: An Empirical Analysis of Attributes Influencing the Adoption of Paid Content. Electronic Markets 16(3): 233-244 (2006)
- [j59]Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: On the Computational Power of Threshold Circuits with Sparse Activity. Neural Computation 18(12): 2994-3008 (2006)
- [j58]Alexander Kaske, Wolfgang Maass: A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. Neural Networks 19(5): 600-609 (2006)
- [j57]Wolfgang Maass: "Imitation of life: how biology is inspiring computing" by Nancy Forbes. Pattern Anal. Appl. 8(4): 390-391 (2006)
- [c61]Wolfgang Maass, Andreas Filler: Towards an Infrastructure for Semantically Annotated Physical Products. GI Jahrestagung (2) 2006: 544-549
- [c60]Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: Energy Complexity and Entropy of Threshold Circuits. ICALP (1) 2006: 631-642
- [c59]Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720
- [c58]Danko Nikolic, Stefan Häusler, Wolf Singer, Wolfgang Maass: Temporal dynamics of information content carried by neurons in the primary visual cortex. NIPS 2006: 1041-1048
- [i22]Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational aspects of feedback in neural circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(137) (2006)
- [i21]Wolfgang Maass, Kei Uchizawa, Rodney J. Douglas: Energy Complexity and Entropy of Threshold Circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(138) (2006)
- 2005
- [j56]Dimitris Apostolou, Gregory Mentzas, Andreas Abecker, Wolfgang Maass, Panos Georgolios, Kostas Kafentzis: Challenges and directions in knowledge asset trading. Int. Syst. in Accounting, Finance and Management 13(1): 1-15 (2005)
- [j55]Robert A. Legenstein, Wolfgang Maass: Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70(1): 53-72 (2005)
- [j54]Prashant Joshi, Wolfgang Maass: Movement Generation with Circuits of Spiking Neurons. Neural Computation 17(8): 1715-1738 (2005)
- [j53]Robert A. Legenstein, Christian Naeger, Wolfgang Maass: What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation 17(11): 2337-2382 (2005)
- [j52]Thomas Natschläger, Wolfgang Maass: Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18(10): 1301-1308 (2005)
- [c57]Robert A. Legenstein, Wolfgang Maass: A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS 2005
- [c56]Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Principles of real-time computing with feedback applied to cortical microcircuit models. NIPS 2005
- 2004
- [j51]Wolfgang Maass, Beat Schmid, Wolf-Christian Eickhoff: Media channels for personal business media. International Journal of Internet and Enterprise Management 2(2): 139-151 (2004)
- [j50]Wolfgang Maass, Henry Markram: On the computational power of circuits of spiking neurons. J. Comput. Syst. Sci. 69(4): 593-616 (2004)
- [c55]Prashant Joshi, Wolfgang Maass: Movement Generation and Control with Generic Neural Microcircuits. BioADIT 2004: 258-273
- [c54]Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger: Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS 2004
- 2003
- [j49]Stefan Häusler, Henry Markram, Wolfgang Maass: Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts. Complexity 8(4): 39-50 (2003)
- [j48]Wolfgang Maass, Jörg P. Müller: Preface to the Special Section on Software Agents. Electronic Markets 13(1) (2003)
- [c53]Thomas Natschläger, Wolfgang Maass: Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS 2003
- 2002
- [j47]Wolfgang Maass, Thomas Natschläger, Henry Markram: Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Computation 14(11): 2531-2560 (2002)
- [j46]Wolfgang Maass, Henry Markram: Synapses as dynamic memory buffers. Neural Networks 15(1): 155-161 (2002)
- [j45]Robert A. Legenstein, Wolfgang Maass: Neural circuits for pattern recognition with small total wire length. Theor. Comput. Sci. 287(1): 239-249 (2002)
- [j44]Thomas Natschläger, Wolfgang Maass: Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287(1): 251-265 (2002)
- [c52]Wolfgang Maass, Robert A. Legenstein, Henry Markram: A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. Biologically Motivated Computer Vision 2002: 282-293
- [c51]Peter Auer, Harald Burgsteiner, Wolfgang Maass: Reducing Communication for Distributed Learning in Neural Networks. ICANN 2002: 123-128
- [c50]Wolfgang Maass: On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. ICANN 2002: 254-258
- [c49]Wolfgang Maass, Thomas Natschläger, Henry Markram: A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220
- [c48]Dimitris Apostolou, Gregoris Mentzas, Andreas Abecker, Wolf-Christian Eickhoff, Wolfgang Maass, Panos Georgolios, Kostas Kafentzis, Sophia Kyriakopoulou: Challenges and Directions in Knowledge Asset Trading. PAKM 2002: 549-564
- [i20]Wolfgang Maass, Henry Markram: On the Computational Power of Recurrent Circuits of Spiking Neurons. Electronic Colloquium on Computational Complexity (ECCC)(022) (2002)
- 2001
- [j43]Thomas Natschläger, Wolfgang Maass: Computing the Optimally Fitted Spike Train for a Synapse. Neural Computation 13(11): 2477-2494 (2001)
- [j42]Stephen Grossberg, Wolfgang Maass, Henry Markram: Introduction: Spiking Neurons in Neuroscience and Technology. Neural Networks 14(6-7): 587- (2001)
- [j41]Wolfgang Maass: On the relevance of time in neural computation and learning. Theor. Comput. Sci. 261(1): 157-178 (2001)
- [p1]Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Current Trends in Theoretical Computer Science 2001: 680-690
- [i19]Robert A. Legenstein, Wolfgang Maass: Optimizing the Layout of a Balanced Tree. Electronic Colloquium on Computational Complexity (ECCC) 8(069) (2001)
- [i18]Robert A. Legenstein, Wolfgang Maass: Total Wire Length as a Salient Circuit Complexity Measure for Sensory Processing. Electronic Colloquium on Computational Complexity (ECCC) 8(070) (2001)
- [i17]Robert A. Legenstein, Wolfgang Maass: Neural Circuits for Pattern Recognition with Small Total Wire Length. Electronic Colloquium on Computational Complexity (ECCC) 8(071) (2001)
- 2000
- [j40]Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Bulletin of the EATCS 72: 149-158 (2000)
- [j39]Wolfgang Maass, Thomas Natschläger: A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Computation 12(7): 1679-1704 (2000)
- [j38]Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. Neural Computation 12(8): 1743-1772 (2000)
- [j37]Wolfgang Maass: On the Computational Power of Winner-Take-All. Neural Computation 12(11): 2519-2535 (2000)
- [c47]Wolfgang Maass, Gerald Steinbauer, Roland Koholka: Autonomous Fast Learning in a Mobile Robot. Sensor Based Intelligent Robots 2000: 345-356
- [c46]
- [c45]Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador: Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151
- [c44]Robert A. Legenstein, Wolfgang Maass: Foundations for a Circuit Complexity Theory of Sensory Processing. NIPS 2000: 259-265
- [i16]Wolfgang Maass: A Simple Model for Neural Computation with Firing Rates and Firing Correlations . Electronic Colloquium on Computational Complexity (ECCC) 7(30) (2000)
- [i15]Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. Electronic Colloquium on Computational Complexity (ECCC) 7(31) (2000)
- [i14]Wolfgang Maass: On the Computational Power of Winner-Take-All. Electronic Colloquium on Computational Complexity (ECCC) 7(32) (2000)
- [i13]Wolfgang Maass: On Computation with Pulses. Electronic Colloquium on Computational Complexity (ECCC) 7(38) (2000)
- [i12]Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. Electronic Colloquium on Computational Complexity (ECCC) 7(50) (2000)
- [i11]Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes. Electronic Colloquium on Computational Complexity (ECCC) 7(55) (2000)
1990 – 1999
- 1999
- [b1]Wolfgang Maass: Von visuellen Daten zu inkrementellen Wegbeschreibungen in dreidimensionalen Umgebungen - das Modell eines kognitiven Agenten. DISKI 214, Infix 1999, ISBN 978-3-89601-214-2, pp. I-IV, 1-239
- [j36]
- [j35]Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding. Inf. Comput. 153(1): 26-46 (1999)
- [j34]Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. Neural Computation 11(3): 771-782 (1999)
- [j33]Wolfgang Maass, Anthony M. Zador: Dynamic Stochastic Synapses as Computational Units. Neural Computation 11(4): 903-917 (1999)
- [c43]Thomas Natschläger, Wolfgang Maass: Fast analog computation in networks of spiking neurons using unreliable synapses. ESANN 1999: 417-422
- [c42]Wolfgang Maass: Neural Computation with Winner-Take-All as the Only Nonlinear Operation. NIPS 1999: 293-299
- 1998
- [j32]Wolfgang Maass, Manfred K. Warmuth: Efficient Learning With Virtual Threshold Gates. Inf. Comput. 141(1): 66-83 (1998)
- [j31]Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. Neural Computation 10(5): 1071-1095 (1998)
- [c41]
- [c40]
- [c39]
- [c38]Wolfgang Maass, Eduardo D. Sontag: A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. NIPS 1998: 281-287
- 1997
- [j30]Wolfgang Maass: Fast Sigmoidal Networks via Spiking Neurons. Neural Computation 9(2): 279-304 (1997)
- [j29]Wolfgang Maass: Networks of spiking neurons: The third generation of neural network models. Neural Networks 10(9): 1659-1671 (1997)
- [j28]Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets. SIAM J. Comput. 26(3): 708-732 (1997)
- [c37]
- [c36]Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for a Spiking Neuron (Extended Abstract). COLT 1997: 54-61
- [c35]
- [i10]Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding. Electronic Colloquium on Computational Complexity (ECCC) 4(49) (1997)
- [i9]Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. Electronic Colloquium on Computational Complexity (ECCC) 4(51) (1997)
- [i8]Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages. Electronic Colloquium on Computational Complexity (ECCC) 4(52) (1997)
- 1996
- [j27]David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy with Applications to Computer Graphics and Machine Learning. J. Comput. Syst. Sci. 52(3): 453-470 (1996)
- [c34]Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). COLT 1996: 333-343
- [c33]Wolfgang Maass: Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. NIPS 1996: 211-217
- [c32]Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. NIPS 1996: 218-224
- [i7]Wolfgang Maass, Berthold Ruf: The Computational Power of Spiking Neurons Depends on the Shape of the Postsynaptic Potentials. Electronic Colloquium on Computational Complexity (ECCC) 3(25) (1996)
- [i6]Wolfgang Maass: Networks of Spiking Neurons: The Third Generation of Neural Network Models. Electronic Colloquium on Computational Complexity (ECCC) 3(31) (1996)
- 1995
- [j26]William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries. Inf. Comput. 118(1): 48-64 (1995)
- [j25]
- [j24]Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. Machine Learning 18(2-3): 187-230 (1995)
- [c31]Wolfgang Maass: How Spatial Information Connects Visual Perception and Natural Language Generation in Dynamic Environments: Towards a Computational Model. COSIT 1995: 223-240
- [c30]Peter Auer, Robert C. Holte, Wolfgang Maass: Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. ICML 1995: 21-29
- [c29]Wolfgang Maass, Manfred K. Warmuth: Efficient Learning with Virtual Threshold Gates. ICML 1995: 378-386
- [c28]
- [e1]Wolfgang Maass (Ed.): Proceedings of the Eigth Annual Conference on Computational Learning Theory, COLT 1995, Santa Cruz, California, USA, July 5-8, 1995. ACM 1995, ISBN 0-89791-723-5
- 1994
- [j23]Wolfgang Maass: From Vision to Multimodal Communication: Incremental Route Descriptions. Artif. Intell. Rev. 8(2-3): 159-174 (1994)
- [j22]Wolfgang Maass, György Turán: Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. Machine Learning 14(1): 251-269 (1994)
- [j21]Zhixiang Chen, Wolfgang Maass: On-Line Learning of Rectangles and Unions of Rectangles. Machine Learning 17(2-3): 201-223 (1994)
- [j20]
- [c27]
- [c26]
- [i5]Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets. Electronic Colloquium on Computational Complexity (ECCC) 1(12) (1994)
- [i4]Wolfgang Maass: Neural Nets with Superlinear VC-Dimension. Electronic Colloquium on Computational Complexity (ECCC) 1(17) (1994)
- [i3]Wolfgang Maass: Lower Bounds for the Computational Power of Networks of Spiking Neurons. Electronic Colloquium on Computational Complexity (ECCC) 1(19) (1994)
- [i2]Wolfgang Maass: Agnostic PAC-Learning of Functions on Analog Neural Nets. Electronic Colloquium on Computational Complexity (ECCC) 1(20) (1994)
- [i1]David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy, with applications to Computer Graphics and Machine Learning. Electronic Colloquium on Computational Complexity (ECCC) 1(25) (1994)
- 1993
- [j19]Wolfgang Maass, Georg Schnitger, Endre Szemerédi, György Turán: Two Tapes Versus One for Off-Line Turing Machines. Computational Complexity 3: 392-401 (1993)
- [j18]András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold Circuits of Bounded Depth. J. Comput. Syst. Sci. 46(2): 129-154 (1993)
- [j17]Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. Theor. Comput. Sci. 108(2): 271-290 (1993)
- [c25]Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. COLT 1993: 392-401
- [c24]Wolfgang Maass: A Cognitive Model for the Process of Multimodal, Incremental Route Descriptions. COSIT 1993: 1-13
- [c23]
- [c22]Wolfgang Maass: Bounds for the computational power and learning complexity of analog neural nets. STOC 1993: 335-344
- 1992
- [j16]Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. J. Comput. Syst. Sci. 44(2): 168-192 (1992)
- [j15]Wolfgang Maass, György Turán: Lower Bound Methods and Separation Results for On-Line Learning Models. Machine Learning 9: 107-145 (1992)
- [c21]Zhixiang Chen, Wolfgang Maass: A Solution of the Credit Assignment Problem in the Case of Learning Rectangles (Abstract). AII 1992: 26-34
- [c20]
- 1991
- [j14]Martin Dietzfelbinger, Wolfgang Maass, Georg Schnitger: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines. Theor. Comput. Sci. 82(1): 113-129 (1991)
- [c19]Wolfgang Maass: On-Line Learning with an Oblivious Environment and the Power of Randomization. COLT 1991: 167-175
- [c18]William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries. COLT 1991: 337-353
- [c17]Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag: On the Computational Power of Sigmoid versus Boolean Threshold Circuits. FOCS 1991: 767-776
- [c16]Winfried Graf, Wolfgang Maass: Constraint-basierte Verarbeitung graphischen Wissens. Wissensbasierte Systeme 1991: 243-253
- 1990
- [c15]Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries (abstract). COLT 1990: 391
- [c14]Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries. FOCS 1990: 203-210
- [c13]
1980 – 1989
- 1989
- [c12]Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. Structure in Complexity Theory Conference 1989: 231-239
- [c11]Wolfgang Maass, Theodore A. Slaman: Extensional Properties of Sets of Time Bounded Complexity (Extended Abstract). FCT 1989: 318-326
- [c10]Wolfgang Maass, György Turán: On the Complexity of Learning From Counterexamples (Extended Abstract). FOCS 1989: 262-267
- 1988
- [j13]Klaus Sutner, Wolfgang Maass: Motion Planning Among Time Dependent Obstacles. Acta Inf. 26(1/2): 93-122 (1988)
- [j12]Martin Dietzfelbinger, Wolfgang Maass: Lower Bound Arguments with "Inaccessible" Numbers. J. Comput. Syst. Sci. 36(3): 313-335 (1988)
- [j11]Noga Alon, Wolfgang Maass: Meanders and Their Applications in Lower Bounds Arguments. J. Comput. Syst. Sci. 37(2): 118-129 (1988)
- [j10]Wolfgang Maass: On the Use of Inaccessible Numbers and Order Indiscernibles in Lower Bound Arguments for Random Access Machines. J. Symb. Log. 53(4): 1098-1109 (1988)
- [c9]Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. ICALP 1988: 188-200
- [c8]András Hajnal, Wolfgang Maass, György Turán: On the Communication Complexity of Graph Properties. STOC 1988: 186-191
- 1987
- [j9]Dorit S. Hochbaum, Wolfgang Maass: Fast Approximation Algorithms for a Nonconvex Covering Problem. J. Algorithms 8(3): 305-323 (1987)
- [j8]Wolfgang Maass, Amir Schorr: Speed-Up of Turing Machines with One Work Tape and a Two-Way Input Tape. SIAM J. Comput. 16(1): 195-202 (1987)
- [c7]András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold circuits of bounded depth. FOCS 1987: 99-110
- [c6]Wolfgang Maass, Georg Schnitger, Endre Szemerédi: Two Tapes Are Better than One for Off-Line Turing Machines. STOC 1987: 94-100
- 1986
- [j7]
- [c5]Martin Dietzfelbinger, Wolfgang Maass: two Lower Bound Arguments with "Inaccessible" Numbers. Structure in Complexity Theory Conference 1986: 163-183
- [c4]Wolfgang Maass, Georg Schnitger: An Optimal Lower Bound for Turing Machines with One Work Tape and a Two- way Input Tape. Structure in Complexity Theory Conference 1986: 249-264
- [c3]
- 1985
- [j6]Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Image Processing and VLSI. J. ACM 32(1): 130-136 (1985)
- [j5]
- 1984
- [j4]
- [c2]Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Robotics and VLSI. STACS 1984: 55-62
- [c1]Wolfgang Maass: Quadratic Lower Bounds for Deterministic and Nondeterministic One-Tape Turing Machines (Extended Abstract). STOC 1984: 401-408
- 1983
- [j3]Steven Homer, Wolfgang Maass: Oracle-Dependent Properties of the Lattice of NP Sets. Theor. Comput. Sci. 24: 279-289 (1983)
- 1982
- [j2]
1970 – 1979
- 1978
- [j1]Wolfgang Maass: The Uniform Regular Set Theorem in a-Recursion Theory. J. Symb. Log. 43(2): 270-279 (1978)
Coauthor Index
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last updated on 2013-10-02 11:07 CEST by the dblp team