NIPS 1999:
Denver,
CO,
USA
Sara A. Solla, Todd K. Leen, Klaus-Robert Müller (Eds.):
Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999].
The MIT Press 2000, ISBN 0-262-19450-3 BibTeX
@proceedings{DBLP:conf/nips/1999,
editor = {Sara A. Solla and
Todd K. Leen and
Klaus-Robert M{\"u}ller},
title = {Advances in Neural Information Processing Systems 12, [NIPS Conference,
Denver, Colorado, USA, November 29 - December 4, 1999]},
booktitle = {NIPS},
publisher = {The MIT Press},
year = {2000},
isbn = {0-262-19450-3},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Cognitive Science
- Jessica D. Bayliss, Dana H. Ballard:
Recognizing Evoked Potentials in a Virtual Environment.
3-9
Electronic Edition (link) BibTeX
- Gustavo Deco, Josef Zihl:
A Neurodynamical Approach to Visual Attention.
10-16
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- Thea B. Ghiselli-Crippa, Paul W. Munro:
Effects of Spatial and Temporal Contiguity on the Acquisition of Spatial Information.
17-23
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- Sham Kakade, Peter Dayan:
Acquisition in Autoshaping.
24-30
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- Soo-Young Lee, Michael Mozer:
Robust Recognition of Noisy and Superimposed Patterns via Selective Attention.
31-37
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- Xiuwen Liu, DeLiang L. Wang:
Perceptual Organization Based on Temporal Dynamics.
38-44
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- Javier R. Movellan, James L. McClelland:
Information Factorization in Connectionist Models of Perception.
45-51
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- Shan Parfitt, Peter Tiño, Georg Dorffner:
Graded Grammaticality in Prediction Fractal Machines.
52-58
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- Joshua B. Tenenbaum:
Rules and Similarity in Concept Learning.
59-65
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- Bradley Tonkes, Alan D. Blair, Janet Wiles:
Evolving Learnable Languages.
66-72
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- Ton Weijters, Antal van den Bosch, Eric O. Postma:
Learning Statistically Neutral Tasks without Expert Guidance.
73-79
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- Richard S. Zemel, Michael Mozer:
A Generative Model for Attractor Dynamics.
80-88
Electronic Edition (link) BibTeX
Neuroscience
- Péter Adorján, Lars Schwabe, Christian Piepenbrock, Klaus Obermayer:
Recurrent Cortical Competition: Strengthen or Weaken?
89-95
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- Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses.
96-102
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- Dmitri B. Chklovskii, Charles F. Stevens:
Wiring Optimization in the Brain.
103-107
Electronic Edition (link) BibTeX
- Dmitri B. Chklovskii:
Optimal Sizes of Dendritic and Axonal Arbors.
108-114
Electronic Edition (link) BibTeX
- Christian W. Eurich, Stefan D. Wilke, Helmut Schwegler:
Neural Representation of Multi-Dimensional Stimuli.
115-121
Electronic Edition (link) BibTeX
- Geoffrey E. Hinton, Andrew D. Brown:
Spiking Boltzmann Machines.
122-128
Electronic Edition (link) BibTeX
- David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin:
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly.
129-135
Electronic Edition (link) BibTeX
- Zhaoping Li:
Can VI Mechanisms Account for Figure-Ground and Medial Axis Effects?
136-142
Electronic Edition (link) BibTeX
- Amit Manwani, Peter N. Steinmetz, Christof Koch:
Channel Noise in Excitable Neural Membranes.
143-149
Electronic Edition (link) BibTeX
- Paul W. Munro, Gerardina Hernández:
LTD Facilitates Learning in a Noisy Environment.
150-156
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- Panayiota Poirazi, Bartlett W. Mel:
Memory Capacity of Linear vs. Nonlinear Models of Dendritic Integration.
157-163
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- Rajesh P. N. Rao, Terrence J. Sejnowski:
Predictive Sequence Learning in Recurrent Neocortical Circuits.
164-170
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- Alfonso Renart, Néstor Parga, Edmund T. Rolls:
A Recurrent Model of the Interaction Between Prefrontal and Inferotemporal Cortex in Delay Tasks.
171-177
Electronic Edition (link) BibTeX
- Elad Schneidman, Idan Segev, Naftali Tishby:
Information Capacity and Robustness of Stochastic Neuron Models.
178-184
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- Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend:
An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task.
185-191
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- Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model.
192-198
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- Xiaohui Xie, H. Sebastian Seung:
Spike-based Learning Rules and Stabilization of Persistent Neural Activity.
199-208
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Theory
- Hagai Attias:
A Variational Baysian Framework for Graphical Models.
209-215
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- Joachim M. Buhmann, Marcus Held:
Model Selection in Clustering by Uniform Convergence Bounds.
216-222
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- Christopher J. C. Burges, David J. Crisp:
Uniqueness of the SVM Solution.
223-229
Electronic Edition (link) BibTeX
- Olivier Chapelle, Vladimir Vapnik:
Model Selection for Support Vector Machines.
230-236
Electronic Edition (link) BibTeX
- Anthony C. C. Coolen, C. W. H. Mace:
Dynamics of Supervised Learning with Restricted Training Sets and Noisy Teachers.
237-243
Electronic Edition (link) BibTeX
- David J. Crisp, Christopher J. C. Burges:
A Geometric Interpretation of v-SVM Classifiers.
244-250
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- Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther:
Efficient Approaches to Gaussian Process Classification.
251-257
Electronic Edition (link) BibTeX
- Nigel Duffy, David P. Helmbold:
Potential Boosters?
258-264
Electronic Edition (link) BibTeX
- Lars Kai Hansen:
Bayesian Averaging is Well-Temperated.
265-271
Electronic Edition (link) BibTeX
- Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente:
Regular and Irregular Gallager-zype Error-Correcting Codes.
272-278
Electronic Edition (link) BibTeX
- Jonathan Q. Li, Andrew R. Barron:
Mixture Density Estimation.
279-285
Electronic Edition (link) BibTeX
- Song Li, K. Y. Michael Wong:
Statistical Dynamics of Batch Learning.
286-292
Electronic Edition (link) BibTeX
- Wolfgang Maass:
Neural Computation with Winner-Take-All as the Only Nonlinear Operation.
293-299
Electronic Edition (link) BibTeX
- Yishay Mansour, David A. McAllester:
Boosting with Multi-Way Branching in Decision Trees.
300-306
Electronic Edition (link) BibTeX
- Claude Nadeau, Yoshua Bengio:
Inference for the Generalization Error.
307-313
Electronic Edition (link) BibTeX
- Toru Ohira, Yuzuru Sato, Jack D. Cowan:
Resonance in a Stochastic Neuron Model with Delayed Interaction.
314-320
Electronic Edition (link) BibTeX
- Sebastian Risau-Gusman, Mirta B. Gordon:
Understanding Stepwise Generalization of Support Vector Machines: a Toy Model.
321-327
Electronic Edition (link) BibTeX
- Michael Schmitt:
Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks.
328-334
Electronic Edition (link) BibTeX
- Hava T. Siegelmann, Alexander Roitershtein, Asa Ben-Hur:
Noisy Neural Networks and Generalizations.
335-341
Electronic Edition (link) BibTeX
- Alex J. Smola, John Shawe-Taylor, Bernhard Schölkopf, Robert C. Williamson:
The Entropy Regularization Information Criterion.
342-348
Electronic Edition (link) BibTeX
- Peter Sollich:
Probabilistic Methods for Support Vector Machines.
349-355
Electronic Edition (link) BibTeX
- Sumio Watanabe:
Algebraic Analysis for Non-regular Learning Machines.
356-362
Electronic Edition (link) BibTeX
- Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems.
363-369
Electronic Edition (link) BibTeX
- Tong Zhang:
Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions.
370-378
Electronic Edition (link) BibTeX
Algorithms and Architecture
- Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet:
Robust Full Bayesian Methods for Neural Networks.
379-385
Electronic Edition (link) BibTeX
- Hagai Attias:
Independent Factor Analysis with Temporally Structured Sources.
386-392
Electronic Edition (link) BibTeX
- David Barber, Peter Sollich:
Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks.
393-399
Electronic Edition (link) BibTeX
- Yoshua Bengio, Samy Bengio:
Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks.
400-406
Electronic Edition (link) BibTeX
- Thomas Briegel, Volker Tresp:
Robust Neural Network Regression for Offline and Online Learning.
407-413
Electronic Edition (link) BibTeX
- Miguel Á. Carreira-Perpiñán:
Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints.
414-420
Electronic Edition (link) BibTeX
- Olivier Chapelle, Vladimir Vapnik, Jason Weston:
Transductive Inference for Estimating Values of Functions.
421-427
Electronic Edition (link) BibTeX
- Oliver B. Downs, David J. C. MacKay, Daniel D. Lee:
The Nonnegative Boltzmann Machine.
428-434
Electronic Edition (link) BibTeX
- Gary William Flake, Barak A. Pearlmutter:
Differentiating Functions of the Jacobian with Respect to the Weights.
435-441
Electronic Edition (link) BibTeX
- Brendan J. Frey:
Local Probability Propagation for Factor Analysis.
442-448
Electronic Edition (link) BibTeX
- Zoubin Ghahramani, Matthew J. Beal:
Variational Inference for Bayesian Mixtures of Factor Analysers.
449-455
Electronic Edition (link) BibTeX
- Thore Graepel, Ralf Herbrich, Klaus Obermayer:
Bayesian Transduction.
456-462
Electronic Edition (link) BibTeX
- Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh:
Learning to Parse Images.
463-469
Electronic Edition (link) BibTeX
- Tommi Jaakkola, Marina Meila, Tony Jebara:
Maximum Entropy Discrimination.
470-476
Electronic Edition (link) BibTeX
- Nebojsa Jojic, Brendan J. Frey:
Topographic Transformation as a Discrete Latent Variable.
477-483
Electronic Edition (link) BibTeX
- Pavel Laskov:
An Improved Decomposition Algorithm for Regression Support Vector Machines.
484-490
Electronic Edition (link) BibTeX
- Daniel D. Lee, Uri Rokni, Haim Sompolinsky:
Algorithms for Independent Components Analysis and Higher Order Statistics.
491-497
Electronic Edition (link) BibTeX
- Yi Li, Philip M. Long:
The Relaxed Online Maximum Margin Algorithm.
498-504
Electronic Edition (link) BibTeX
- Dimitris Margaritis, Sebastian Thrun:
Bayesian Network Induction via Local Neighborhoods.
505-511
Electronic Edition (link) BibTeX
- Llew Mason, Jonathan Baxter, Peter L. Bartlett, Marcus R. Frean:
Boosting Algorithms as Gradient Descent.
512-518
Electronic Edition (link) BibTeX
- Chris Mesterharm:
A Multi-class Linear Learning Algorithm Related to Winnow.
519-525
Electronic Edition (link) BibTeX
- Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller:
Invariant Feature Extraction and Classification in Kernel Spaces.
526-532
Electronic Edition (link) BibTeX
- Andrew Y. Ng, Michael I. Jordan:
Approximate Inference A lgorithms for Two-Layer Bayesian Networks.
533-539
Electronic Edition (link) BibTeX
- Dirk Ormoneit, Trevor Hastie:
Optimal Kernel Shapes for Local Linear Regression.
540-546
Electronic Edition (link) BibTeX
- John C. Platt, Nello Cristianini, John Shawe-Taylor:
Large Margin DAGs for Multiclass Classification.
547-553
Electronic Edition (link) BibTeX
- Carl Edward Rasmussen:
The Infinite Gaussian Mixture Model.
554-560
Electronic Edition (link) BibTeX
- Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika:
v-Arc: Ensemble Learning in the Presence of Outliers.
561-567
Electronic Edition (link) BibTeX
- Volker Roth, Volker Steinhage:
Nonlinear Discriminant Analysis Using Kernel Functions.
568-574
Electronic Edition (link) BibTeX
- Paat Rusmevichientong, Benjamin Van Roy:
An Analysis of Turbo Decoding with Gaussian Densities.
575-581
Electronic Edition (link) BibTeX
- Bernhard Schölkopf, Robert C. Williamson, Alex J. Smola, John Shawe-Taylor, John C. Platt:
Support Vector Method for Novelty Detection.
582-588
Electronic Edition (link) BibTeX
- Mike Schuster:
Better Generative Models for Sequential Data Problems: Bidirectional Recurrent Mixture Density Networks.
589-595
Electronic Edition (link) BibTeX
- Dale Schuurmans:
Greedy Importance Sampling.
596-602
Electronic Edition (link) BibTeX
- Matthias Seeger:
Bayesian Model Selection for Support Vector Machines, Gaussian Processes and Other Kernel Classifiers.
603-609
Electronic Edition (link) BibTeX
- Yoram Singer:
Leveraged Vector Machines.
610-616
Electronic Edition (link) BibTeX
- Noam Slonim, Naftali Tishby:
Agglomerative Information Bottleneck.
617-623
Electronic Edition (link) BibTeX
- Masashi Sugiyama, Hidemitsu Ogawa:
Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks.
624-630
Electronic Edition (link) BibTeX
- S. Sundararajan, S. Sathiya Keerthi:
Predictive App roaches for Choosing Hyperparameters in Gaussian Processes.
631-637
Electronic Edition (link) BibTeX
- Peter Sykacek:
On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling.
638-644
Electronic Edition (link) BibTeX
- Peter Tiño, Georg Dorffner:
Building Predictive Models from Fractal Representations of Symbolic Sequences.
645-651
Electronic Edition (link) BibTeX
- Michael E. Tipping:
The Relevance Vector Machine.
652-658
Electronic Edition (link) BibTeX
- Vladimir Vapnik, Sayan Mukherjee:
Support Vector Method for Multivariate Density Estimation.
659-665
Electronic Edition (link) BibTeX
- Eric A. Wan, Rudolph van der Merwe, Alex T. Nelson:
Dual Estimation and the Unscented Transformation.
666-672
Electronic Edition (link) BibTeX
- Yair Weiss, William T. Freeman:
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology.
673-679
Electronic Edition (link) BibTeX
- Christopher K. I. Williams:
A MCMC Approach to Hierarchical Mixture Modelling.
680-686
Electronic Edition (link) BibTeX
- Howard Hua Yang, John E. Moody:
Data Visualization and Feature Selection: New Algorithms for Nongaussian Data.
687-702
Electronic Edition (link) BibTeX
- Mark Zlochin, Yoram Baram:
Manifold Stochastic Dynamics for Bayesian Learning.
694-702
Electronic Edition (link) BibTeX
Implementation
Speech,
Handwriting and Signal Processing
- Guy J. Brown, DeLiang L. Wang:
An Oscillatory Correlation Frame work for Computational Auditory Scene Analysis.
747-753
Electronic Edition (link) BibTeX
- Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen:
Bayesian Modelling of fMRI lime Series.
754-760
Electronic Edition (link) BibTeX
- Craig T. Jin, Simon Carlile:
Neural System Model of Human Sound Localization.
761-767
Electronic Edition (link) BibTeX
- Craig T. Jin, Anna Corderoy, Simon Carlile, André van Schaik:
Spectral Cues in Human Sound Localization.
768-774
Electronic Edition (link) BibTeX
- Justinian P. Rosca, Joseph Ó Ruanaidh, Alexander Jourjine, Scott Rickard:
Broadband Direction-Of-Arrival Estimation Based on Second Order Statistics.
775-781
Electronic Edition (link) BibTeX
- Sam T. Roweis:
Constrained Hidden Markov Models.
782-788
Electronic Edition (link) BibTeX
- Nicol N. Schraudolph, Xavier Giannakopoulos:
Online Independent Component Analysis with Local Learning Rate Adaptation.
789-795
Electronic Edition (link) BibTeX
- Gavin Smith, João F. G. de Freitas, Tony Robinson, Mahesan Niranjan:
Speech Modelling Using Subspace and EM Techniques.
796-802
Electronic Edition (link) BibTeX
- Howard Hua Yang, Hynek Hermansky:
Search for Information Bearing Components in Speech.
803-812
Electronic Edition (link) BibTeX
Visual Processing
- John Hershey, Javier R. Movellan:
Audio Vision: Using Audio-Visual Synchrony to Locate Sounds.
813-819
Electronic Edition (link) BibTeX
- Nicholas R. Howe, Michael E. Leventon, William T. Freeman:
Bayesian Reconstruction of 3D Human Motion from Single-Camera Video.
820-826
Electronic Edition (link) BibTeX
- Aapo Hyvärinen, Patrik O. Hoyer:
Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA.
827-833
Electronic Edition (link) BibTeX
- Tai Sing Lee, Stella X. Yu:
An Information-Theoretic Framework for Understanding Saccadic Eye Movements.
834-840
Electronic Edition (link) BibTeX
- Bruno A. Olshausen, K. Jarrod Millman:
Learning Sparse Codes with a Mixture-of-Gaussians Prior.
841-847
Electronic Edition (link) BibTeX
- Clay Spence, Lucas C. Parra:
Hierarchical Image Probability (H1P) Models.
848-854
Electronic Edition (link) BibTeX
- Martin J. Wainwright, Eero P. Simoncelli:
Scale Mixtures of Gaussians and the Statistics of Natural Images.
855-861
Electronic Edition (link) BibTeX
- Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
A SNoW-Based Face Detector.
862-868
Electronic Edition (link) BibTeX
- Zhiyong Yang, Richard S. Zemel:
Managing Uncertainty in Cue Combination.
869-878
Electronic Edition (link) BibTeX
Applications
- Rembrandt Bakker, Jaap C. Schouten, Marc-Olivier Coppens, Floris Takens, C. Lee Giles, Cor M. van den Bleek:
Robust Learning of Chaotic Attractors.
879-885
Electronic Edition (link) BibTeX
- Marian Stewart Bartlett, Gianluca Donato, Javier R. Movellan, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski:
Image Representations for Facial Expression Coding.
886-892
Electronic Edition (link) BibTeX
- Timothy X. Brown:
Low Power Wireless Communication via Reinforcement Learning.
893-899
Electronic Edition (link) BibTeX
- John W. Fisher III, Alexander T. Ihler, Paul A. Viola:
Learning Informative Statistics: A Nonparametnic Approach.
900-906
Electronic Edition (link) BibTeX
- Richard M. Golden:
Kirchoff Law Markov Fields for Analog Circuit Design.
907-913
Electronic Edition (link) BibTeX
- Thomas Hofmann:
Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization.
914-920
Electronic Edition (link) BibTeX
- Yuansong Liao, John E. Moody:
Constructing Heterogeneous Committees Using Input Feature Grouping: Application to Economic Forecasting.
921-927
Electronic Edition (link) BibTeX
- Eric Mjolsness, Tobias Mann, Rebecca Castaño, Barbara J. Wold:
From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data.
928-934
Electronic Edition (link) BibTeX
- Michael Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky:
Churn Reduction in the Wireless Industry.
935-941
Electronic Edition (link) BibTeX
- Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller:
Unmixing Hyperspectral Data.
942-948
Electronic Edition (link) BibTeX
- Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer:
Application of Blind Separation of Sources to Optical Recording of Brain Activity.
949-955
Electronic Edition (link) BibTeX
- Satinder P. Singh, Michael J. Kearns, Diane J. Litman, Marilyn A. Walker:
Reinforcement Learning for Spoken Dialogue Systems.
956-962
Electronic Edition (link) BibTeX
- Xubo B. Song, Joseph Sill, Yaser S. Abu-Mostafa, Harvey Kasdan:
Image Recognition in Context: Application to Microscopic Urinalysis.
963-969
Electronic Edition (link) BibTeX
- Shivakumar Vaithyanathan, Byron Dom:
Generalized Model Selection for Unsupervised Learning in High Dimensions.
970-976
Electronic Edition (link) BibTeX
- Nuno Vasconcelos, Andrew Lippman:
Learning from User Feedback in Image Retrieval Systems.
977-986
Electronic Edition (link) BibTeX
Control,
Navigation and Planning
- Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang:
An Environment Model for Nonstationary Reinforcement Learning.
987-993
Electronic Edition (link) BibTeX
- Thomas G. Dietterich:
State Abstraction in MAXQ Hierarchical Reinforcement Learning.
994-1000
Electronic Edition (link) BibTeX
- Michael J. Kearns, Yishay Mansour, Andrew Y. Ng:
Approximate Planning in Large POMDPs via Reusable Trajectories.
1001-1007
Electronic Edition (link) BibTeX
- Vijay R. Konda, John N. Tsitsiklis:
Actor-Critic Algorithms.
1008-1014
Electronic Edition (link) BibTeX
- Kevin P. Murphy:
Bayesian Map Learning in Dynamic Environments.
1015-1021
Electronic Edition (link) BibTeX
- Andrew Y. Ng, Ronald Parr, Daphne Koller:
Policy Search via Density Estimation.
1022-1028
Electronic Edition (link) BibTeX
- Stephen Piche, James D. Keeler, Greg Martin, Gene Boe, Doug Johnson, Mark Gerules:
Neural Network Based Model Predictive Control.
1029-1035
Electronic Edition (link) BibTeX
- Andrés Rodríguez, Ronald Parr, Daphne Koller:
Reinforcement Learning Using Approximate Belief States.
1036-1042
Electronic Edition (link) BibTeX
- Nicholas Roy, Sebastian Thrun:
Coastal Navigation with Mobile Robots.
1043-1049
Electronic Edition (link) BibTeX
- Brian Sallans:
Learning Factored Representations for Partially Observable Markov Decision Processes.
1050-1056
Electronic Edition (link) BibTeX
- Richard S. Sutton, David A. McAllester, Satinder P. Singh, Yishay Mansour:
Policy Gradient Methods for Reinforcement Learning with Function Approximation.
1057-1063
Electronic Edition (link) BibTeX
- Sebastian Thrun:
Monte Carlo POMDPs.
1064-1070
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:28 2009
by Michael Ley (ley@uni-trier.de)