NIPS 1998:
Denver,
CO,
USA
Michael J. Kearns, Sara A. Solla, David A. Cohn (Eds.):
Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998].
The MIT Press 1999, ISBN 0-262-11245-0 BibTeX
@proceedings{DBLP:conf/nips/1998,
editor = {Michael J. Kearns and
Sara A. Solla and
David A. Cohn},
title = {Advances in Neural Information Processing Systems 11, [NIPS Conference,
Denver, Colorado, USA, November 30 - December 5, 1998]},
booktitle = {NIPS},
publisher = {The MIT Press},
year = {1999},
isbn = {0-262-11245-0},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Cognitive Science
Neuroscience
- Joshua B. Tenenbaum:
Bayesian Modeling of Human Concept Learning.
59-68
Electronic Edition (link) BibTeX
- L. F. Abbott, Sen Song:
Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability.
69-75
Electronic Edition (link) BibTeX
- Péter Adorján, Klaus Obermayer:
Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability.
76-82
Electronic Edition (link) BibTeX
- Pierre Baraduc, Emmanuel Guigon, Yves Burnod:
Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements?
83-89
Electronic Edition (link) BibTeX
- Frances S. Chance, Sacha B. Nelson, L. F. Abbott:
Recurrent Cortical Amplification Produces Complex Cell Responses.
90-96
Electronic Edition (link) BibTeX
- Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation Implements Efficient Synaptic Pruning.
97-103
Electronic Edition (link) BibTeX
- Sophie Deneve, Alexandre Pouget, Peter E. Latham:
Divisive Normalization, Line Attractor Networks and Ideal Observers.
104-110
Electronic Edition (link) BibTeX
- Itay Gat, Naftali Tishby:
Synergy and Redundancy among Brain Cells of Behaving Monkeys.
111-117
Electronic Edition (link) BibTeX
- Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski:
Analyzing and Visualizing Single-Trial Event-Related Potentials.
118-124
Electronic Edition (link) BibTeX
- Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen:
Spike-Based Compared to Rate-Based Hebbian Learning.
125-131
Electronic Edition (link) BibTeX
- Amit Manwani, Christof Koch:
Signal Detection in Noisy Weakly-Active Dendrites.
132-138
Electronic Edition (link) BibTeX
- Christian Piepenbrock, Klaus Obermayer:
The Role of Lateral Cortical Competition in Ocular Dominance Development.
139-145
Electronic Edition (link) BibTeX
- Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby:
Multi-Electrode Spike Sorting by Clustering Transfer Functions.
146-152
Electronic Edition (link) BibTeX
- Eero P. Simoncelli, Odelia Schwartz:
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model.
153-159
Electronic Edition (link) BibTeX
- Martin Stemmler, Christof Koch:
Information Maximization in Single Neurons.
160-166
Electronic Edition (link) BibTeX
- Hyoungsoo Yoon, Haim Sompolinsky:
The Effect of Correlations on the Fisher Information of Population Codes.
167-173
Electronic Edition (link) BibTeX
Theory
- Richard S. Zemel, Peter Dayan:
Distributional Population Codes and Multiple Motion Models.
174-182
Electronic Edition (link) BibTeX
- David Barber, Wim Wiegerinck:
Tractable Variational Structures for Approximating Graphical Models.
183-189
Electronic Edition (link) BibTeX
- Peter L. Bartlett, Vitaly Maiorov, Ron Meir:
Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks.
190-196
Electronic Edition (link) BibTeX
- Anthony C. C. Coolen, David Saad:
Dynamics of Supervised Learning with Restricted Training Sets.
197-203
Electronic Edition (link) BibTeX
- Nello Cristianini, Colin Campbell, John Shawe-Taylor:
Dynamically Adapting Kernels in Support Vector Machines.
204-210
Electronic Edition (link) BibTeX
- A. Düring, Anthony C. C. Coolen, D. Sherrington:
Phase Diagram and Storage Capacity of Sequence-Storing Neural Networks.
211-217
Electronic Edition (link) BibTeX
- Giancarlo Ferrari-Trecate, Christopher K. I. Williams, Manfred Opper:
Finite-Dimensional Approximation of Gaussian Processes.
218-224
Electronic Edition (link) BibTeX
- Claudio Gentile, Manfred K. Warmuth:
Linear Hinge Loss and Average Margin.
225-231
Electronic Edition (link) BibTeX
- Didier Herschkowitz, Jean-Pierre Nadal:
Unsupervised and Supervised Clustering: The Mutual Information between Parameters and Observations.
232-238
Electronic Edition (link) BibTeX
- Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara:
Convergence of the Wake-Sleep Algorithm.
239-245
Electronic Edition (link) BibTeX
- Yoshiyuki Kabashima, David Saad:
The Belief in TAP.
246-252
Electronic Edition (link) BibTeX
- Grigoris J. Karakoulas, John Shawe-Taylor:
Optimizing Classifers for Imbalanced Training Sets.
253-259
Electronic Edition (link) BibTeX
- Michael J. Kearns, Lawrence K. Saul:
Inference in Multilayer Networks via Large Deviation Bounds.
260-266
Electronic Edition (link) BibTeX
- Friedrich Leisch, Adrian Trapletti, Kurt Hornik:
Stationarity and Stability of Autoregressive Neural Network Processes.
267-273
Electronic Edition (link) BibTeX
- Zhaoping Li, Peter Dayan:
Computational Differences between Asymmetrical and Symmetrical Networks.
274-280
Electronic Edition (link) BibTeX
- Wolfgang Maass, Eduardo D. Sontag:
A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions.
281-287
Electronic Edition (link) BibTeX
- Llew Mason, Peter L. Bartlett, Jonathan Baxter:
Direct Optimization of Margins Improves Generalization in Combined Classifiers.
288-294
Electronic Edition (link) BibTeX
- Ron Meir, Vitaly Maiorov:
On the Optimality of Incremental Neural Network Algorithms.
295-301
Electronic Edition (link) BibTeX
- Manfred Opper, Francesco Vivarelli:
General Bounds on Bayes Errors for Regression with Gaussian Processes.
302-308
Electronic Edition (link) BibTeX
- Manfred Opper, Ole Winther:
Mean Field Methods for Classification with Gaussian Processes.
309-315
Electronic Edition (link) BibTeX
- H. C. Rae, Peter Sollich, Anthony C. C. Coolen:
On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories.
316-322
Electronic Edition (link) BibTeX
- Akito Sakurai:
Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks.
323-329
Electronic Edition (link) BibTeX
- Bernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson:
Shrinking the Tube: A New Support Vector Regression Algorithm.
330-336
Electronic Edition (link) BibTeX
- N. S. Skantzos, C. F. Beckmann, Anthony C. C. Coolen:
Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks.
337-345
Electronic Edition (link) BibTeX
- Peter Sollich:
Learning Curves for Gaussian Processes.
344-350
Electronic Edition (link) BibTeX
Algorithms and Architecture
- Toshiyuki Tanaka:
A Theory of Mean Field Approximation.
351-360
Electronic Edition (link) BibTeX
- Hagai Attias:
Learning a Hierarchical Belief Network of Independent Factor Analyzers.
361-367
Electronic Edition (link) BibTeX
- Kristin P. Bennett, Ayhan Demiriz:
Semi-Supervised Support Vector Machines.
368-374
Electronic Edition (link) BibTeX
- Mauro Birattari, Gianluca Bontempi, Hugues Bersini:
Lazy Learning Meets the Recursive Least Squares Algorithm.
375-381
Electronic Edition (link) BibTeX
- Christopher M. Bishop:
Bayesian PCA.
382-388
Electronic Edition (link) BibTeX
- Andrew Blake, Ben North, Michael Isard:
Learning Multi-Class Dynamics.
389-395
Electronic Edition (link) BibTeX
- Xavier Boyen, Daphne Koller:
Approximate Learning of Dynamic Models.
396-402
Electronic Edition (link) BibTeX
- Thomas Briegel, Volker Tresp:
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models.
403-409
Electronic Edition (link) BibTeX
- João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee:
Global Optimisation of Neural Network Models via Sequential Sampling.
410-416
Electronic Edition (link) BibTeX
- Nir Friedman, Yoram Singer:
Efficient Bayesian Parameter Estimation in Large Discrete Domains.
417-423
Electronic Edition (link) BibTeX
- Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
A Randomized Algorithm for Pairwise Clustering.
424-430
Electronic Edition (link) BibTeX
- Zoubin Ghahramani, Sam T. Roweis:
Learning Nonlinear Dynamical Systems Using an EM Algorithm.
431-437
Electronic Edition (link) BibTeX
- Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer:
Classification on Pairwise Proximity Data.
438-444
Electronic Edition (link) BibTeX
- Yves Grandvalet, Stéphane Canu:
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage.
445-451
Electronic Edition (link) BibTeX
- Marcus Held, Jan Puzicha, Joachim M. Buhmann:
Visualizing Group Structure.
452-458
Electronic Edition (link) BibTeX
- Sepp Hochreiter, Jürgen Schmidhuber:
Source Separation as a By-Product of Regularization.
459-465
Electronic Edition (link) BibTeX
- Thomas Hofmann, Jan Puzicha, Michael I. Jordan:
Learning from Dyadic Data.
466-472
Electronic Edition (link) BibTeX
- Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja:
Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.
473-479
Electronic Edition (link) BibTeX
- Charles Lee Isbell Jr., Paul A. Viola:
Restructuring Sparse High Dimensional Data for Effective Retrieval.
480-486
Electronic Edition (link) BibTeX
- Tommi Jaakkola, David Haussler:
Exploiting Generative Models in Discriminative Classifiers.
487-493
Electronic Edition (link) BibTeX
- Tony Jebara, Alex Pentland:
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm.
494-500
Electronic Edition (link) BibTeX
- Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger:
A Polygonal Line Algorithm for Constructing Principal Curves.
501-507
Electronic Edition (link) BibTeX
- Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
508-514
Electronic Edition (link) BibTeX
- Daniel D. Lee, Haim Sompolinsky:
Learning a Continuous Hidden Variable Model for Binary Data.
515-521
Electronic Edition (link) BibTeX
- Malik Magdon-Ismail, Amir F. Atiya:
Neural Networks for Density Estimation.
522-528
Electronic Edition (link) BibTeX
- Alan D. Marrs, Andrew R. Webb:
Exploratory Data Analysis Using Radial Basis Function Latent Variable Models.
529-535
Electronic Edition (link) BibTeX
- Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch:
Kernel PCA and De-Noising in Feature Spaces.
536-542
Electronic Edition (link) BibTeX
- Andrew W. Moore:
Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees.
543-549
Electronic Edition (link) BibTeX
- Marcello Pelillo:
Replicator Equations, Maximal Cliques, and Graph Isomorphism.
550-556
Electronic Edition (link) BibTeX
- John C. Platt:
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines.
557-563
Electronic Edition (link) BibTeX
- Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller:
Regularizing AdaBoost.
564-570
Electronic Edition (link) BibTeX
- Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun:
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks.
571-577
Electronic Edition (link) BibTeX
- Yoram Singer, Manfred K. Warmuth:
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy.
578-584
Electronic Edition (link) BibTeX
- Alex J. Smola, Thilo-Thomas Frieß, Bernhard Schölkopf:
Semiparametric Support Vector and Linear Programming Machines.
585-591
Electronic Edition (link) BibTeX
- Michael E. Tipping:
Probabilistic Visualisation of High-Dimensional Binary Data.
592-598
Electronic Edition (link) BibTeX
- Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton:
SMEM Algorithm for Mixture Models.
599-605
Electronic Edition (link) BibTeX
- Nuno Vasconcelos, Andrew Lippman:
Learning Mixture Hierarchies.
606-612
Electronic Edition (link) BibTeX
- Francesco Vivarelli, Christopher K. I. Williams:
Discovering Hidden Features with Gaussian Processes Regression.
613-619
Electronic Edition (link) BibTeX
- Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara Klein:
The Bias-Variance Tradeoff and the Randomized GACV.
620-626
Electronic Edition (link) BibTeX
- Kevin R. Wheeler, Atam P. Dhawan:
Basis Selection for Wavelet Regression.
627-633
Electronic Edition (link) BibTeX
- Christopher K. I. Williams, Nicholas J. Adams:
DTs: Dynamic Trees.
634-640
Electronic Edition (link) BibTeX
- Alan L. Yuille, James M. Coughlan:
Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours.
641-647
Electronic Edition (link) BibTeX
Implementation
- Liqing Zhang, Andrzej Cichocki:
Blind Separation of Filtered Sources Using State-Space Approach.
648-656
Electronic Edition (link) BibTeX
- Gert Cauwenberghs, James Waskiewicz:
Analog VLSI Cellular Implementation of the Boundary Contour System.
657-663
Electronic Edition (link) BibTeX
- Jung-Wook Cho, Soo-Young Lee:
Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability.
664-670
Electronic Edition (link) BibTeX
- Richard Coggins, Raymond J. Wang, Marwan A. Jabri:
A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser.
671-677
Electronic Edition (link) BibTeX
- R. Timothy Edwards, Gert Cauwenberghs, Fernando J. Pineda:
Optimizing Correlation Algorithms for Hardware-Based Transient Classification.
678-684
Electronic Edition (link) BibTeX
- Ralph Etienne-Cummings, Viktor Gruev, Mohammed Abdel Ghani:
VLSI Implementation of Motion Centroid Localization for Autonomous Navigation.
685-691
Electronic Edition (link) BibTeX
- John G. Harris, Chiang-Jung Pu, José Carlos Príncipe:
A Neuromorphic Monaural Sound Localizer.
692-698
Electronic Edition (link) BibTeX
- Charles M. Higgins, Christof Koch:
An Integrated Vision Sensor for the Computation of Optical Flow Singular Points.
699-705
Electronic Edition (link) BibTeX
- Alan Stocker, Rodney J. Douglas:
Computation of Smooth Optical Flow in a Feedback Connected Analog Network.
706-712
Electronic Edition (link) BibTeX
Speech,
Handwriting and Signal Processing
Visual Processing
- Lawrence K. Saul, Mazin G. Rahim:
Markov Processes on Curves for Automatic Speech Recognition.
751-760
Electronic Edition (link) BibTeX
- James M. Coughlan, Alan L. Yuille:
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations.
761-767
Electronic Edition (link) BibTeX
- Trevor Darrell:
Example-Based Image Synthesis of Articulated Figures.
768-774
Electronic Edition (link) BibTeX
- William T. Freeman, Egon C. Pasztor:
Learning to Estimate Scenes from Images.
775-781
Electronic Edition (link) BibTeX
- Sergey Ioffe, David A. Forsyth:
Learning to Find Pictures of People.
782-788
Electronic Edition (link) BibTeX
- Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch:
Attentional Modulation of Human Pattern Discrimination Psychophysics Reproduced by a Quantitative Model.
789-795
Electronic Edition (link) BibTeX
- Zhaoping Li:
A V1 Model of Pop Out and Asymmetty in Visual Search.
796-802
Electronic Edition (link) BibTeX
- P. Jonathon Phillips:
Support Vector Machines Applied to Face Recognition.
803-809
Electronic Edition (link) BibTeX
- Rajesh P. N. Rao, Daniel L. Ruderman:
Learning Lie Groups for Invariant Visual Perception.
810-816
Electronic Edition (link) BibTeX
- Ruth Rosenholtz:
General-Purpose Localization of Textured Image Regions.
817-823
Electronic Edition (link) BibTeX
- Ravi K. Sharma, Todd K. Leen, Misha Pavel:
Probabilistic Image Sensor Fusion.
824-830
Electronic Edition (link) BibTeX
- Karvel K. Thornber, Lance R. Williams:
Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape.
831-837
Electronic Edition (link) BibTeX
Applications
- Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu:
Classification in Non-Metric Spaces.
838-846
Electronic Edition (link) BibTeX
- Shumeet Baluja:
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition.
847-853
Electronic Edition (link) BibTeX
- Shumeet Baluja:
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data.
854-860
Electronic Edition (link) BibTeX
- Dan Cornford, Ian T. Nabney, Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.
861-867
Electronic Edition (link) BibTeX
- Gideon Dror, Halina Abramowicz, David Horn:
Vertex Identification in High Energy Physics Experiments.
868-874
Electronic Edition (link) BibTeX
- Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein:
Familiarity Discrimination of Radar Pulses.
875-881
Electronic Edition (link) BibTeX
- Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton:
Fast Neural Network Emulation of Dynamical Systems for Computer Animation.
882-888
Electronic Edition (link) BibTeX
- Jaakko Hollmén, Volker Tresp:
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model.
889-895
Electronic Edition (link) BibTeX
- Benoit Huet, Andrew D. J. Cross, Edwin R. Hancock:
Graph Matching for Shape Retrieval.
896-902
Electronic Edition (link) BibTeX
- Amy McGovern, J. Eliot B. Moss:
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts.
903-909
Electronic Edition (link) BibTeX
- Baback Moghaddam, Tony Jebara, Alex Pentland:
Bayesian Modeling of Facial Similarity.
910-916
Electronic Edition (link) BibTeX
- John E. Moody, Matthew Saffell:
Reinforcement Learning for Trading.
917-923
Electronic Edition (link) BibTeX
- Nuria Oliver, Barbara Rosario, Alex Pentland:
Graphical Models for Recognizing Human Interactions.
924-930
Electronic Edition (link) BibTeX
- Klaus Prank, Julia Börger, Alexander von zur Mühlen, Georg Brabant, Christof Schöfl:
Independent Component Analysis of Intracellular Calcium Spike Data.
931-937
Electronic Edition (link) BibTeX
- Clay Spence, Paul Sajda:
Applications of Multi-Resolution Neural Networks to Mammography.
938-944
Electronic Edition (link) BibTeX
- Matthew M. Williamson, Roderick Murray-Smith, Volker Hansen:
Robot Docking Using Mixtures of Gaussians.
945-951
Electronic Edition (link) BibTeX
Control,
Navigation and Planning
- David Wolpert, Kagan Tumer, Jeremy Frank:
Using Collective Intelligence to Route Internet Traffic.
952-960
Electronic Edition (link) BibTeX
- Mohammad A. Al-Ansari, Ronald J. Williams:
Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm.
961-967
Electronic Edition (link) BibTeX
- Leemon C. Baird III, Andrew W. Moore:
Gradient Descent for General Reinforcement Learning.
968-974
Electronic Edition (link) BibTeX
- Lyndon J. Brown, Gregory E. Gonye, James S. Schwaber:
Non-Linear PI Control Inspired by Biological Control Systems.
975-981
Electronic Edition (link) BibTeX
- Timothy X. Brown, Hui Tong, Satinder P. Singh:
Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning.
982-988
Electronic Edition (link) BibTeX
- Akira Hayashi, Nobuo Suematsu:
Viewing Classifier Systems as Model Free Learning in POMDPs.
989-995
Electronic Edition (link) BibTeX
- Michael J. Kearns, Satinder P. Singh:
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms.
996-1002
Electronic Edition (link) BibTeX
- Sven Koenig:
Exploring Unknown Environments with Real-Time Search or Reinforcement Learning.
1003-1009
Electronic Edition (link) BibTeX
- John Loch:
The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes.
1010-1016
Electronic Edition (link) BibTeX
- Robert Moll, Andrew G. Barto, Theodore J. Perkins, Richard S. Sutton:
Learning Instance-Independent Value Functions to Enhance Local Search.
1017-1023
Electronic Edition (link) BibTeX
- Rémi Munos, Andrew W. Moore:
Barycentric Interpolators for Continuous Space and Time Reinforcement Learning.
1024-1030
Electronic Edition (link) BibTeX
- Ralph Neuneier, Oliver Mihatsch:
Risk Sensitive Reinforcement Learning.
1031-1037
Electronic Edition (link) BibTeX
- Eimei Oyama, Susumu Tachi:
Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm.
1038-1044
Electronic Edition (link) BibTeX
- Jette Randlov:
Learning Macro-Actions in Reinforcement Learning.
1045-1051
Electronic Edition (link) BibTeX
- Masa-aki Sato, Shin Ishii:
Reinforcement Learning Based on On-Line EM Algorithm.
1052-1058
Electronic Edition (link) BibTeX
- Nobuo Suematsu, Akira Hayashi:
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory.
1059-1065
Electronic Edition (link) BibTeX
- Richard S. Sutton, Satinder P. Singh, Doina Precup, Balaraman Ravindran:
Improved Switching among Temporally Abstract Actions.
1066-1072
Electronic Edition (link) BibTeX
- John K. Williams, Satinder P. Singh:
Experimental Results on Learning Stochastic Memoryless Policies for Partially Observable Markov Decision Processes.
1073-1080
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:28 2009
by Michael Ley (ley@uni-trier.de)