NIPS 2000:
Denver,
CO,
USA
Todd K. Leen, Thomas G. Dietterich, Volker Tresp (Eds.):
Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA.
MIT Press 2001 BibTeX
@proceedings{DBLP:conf/nips/2000,
editor = {Todd K. Leen and
Thomas G. Dietterich and
Volker Tresp},
title = {Advances in Neural Information Processing Systems 13, Papers
from Neural Information Processing Systems (NIPS) 2000, Denver,
CO, USA},
publisher = {MIT Press},
year = {2001},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
Who Does What? A Novel Algorithm to Determine Function Localization.
3-9 BibTeX
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A Productive, Systematic Framework for the Representation of Visual Structure.
10-16 BibTeX
- David B. Grimes, Michael Mozer:
The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving.
17-23 BibTeX
- Szabolcs Káli, Peter Dayan:
Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex.
24-30 BibTeX
- Zhaoping Li, Peter Dayan:
Position Variance, Recurrence and Perceptual Learning.
31-37 BibTeX
- In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian:
The Use of MDL to Select among Computational Models of Cognition.
38-44 BibTeX
- Jonathan D. Nelson, Javier R. Movellan:
Active Inference in Concept Learning.
45-51 BibTeX
- Mark A. Smith, Garrison W. Cottrell, Karen L. Anderson:
The Early Word Catches the Weights.
52-58 BibTeX
- Joshua B. Tenenbaum, Thomas L. Griffiths:
Structure Learning in Human Causal Induction.
59-65 BibTeX
- Bosco S. Tjan:
Adaptive Object Representation with Hierarchically-Distributed Memory Sites.
66-72 BibTeX
- Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek:
What Can a Single Neuron Compute?
75-81 BibTeX
- Kevin A. Archie, Bartlett W. Mel:
Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli.
82-88 BibTeX
- Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner:
Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning.
89-95 BibTeX
- Suzanna Becker, Neil Burgess:
Modelling Spatial Recall, Mental Imagery and Neglect.
96-102 BibTeX
- William Bialek:
Stability and Noise in Biochemical Switches.
103-109 BibTeX
- Gal Chechik, Naftali Tishby:
Temporally Dependent Plasticity: An Information Theoretic Account.
110-116 BibTeX
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A New Model of Spatial Representation in Multimodal Brain Areas.
117-123 BibTeX
- Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck:
Multiple Timescales of Adaptation in a Neural Code.
124-130 BibTeX
- Sham Kakade, Peter Dayan:
Dopamine Bonuses.
131-137 BibTeX
- Thomas Natschläger, Wolfgang Maass:
Finding the Key to a Synapse.
138-144 BibTeX
- Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador:
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics.
145-151 BibTeX
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Spike-Timing-Dependent Learning for Oscillatory Networks.
152-158 BibTeX
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Universality and Individuality in a Neural Code.
159-165 BibTeX
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Natural Sound Statistics and Divisive Normalization in the Auditory System.
166-172 BibTeX
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Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron.
173-179 BibTeX
- Carl van Vreeswijk:
Whence Sparseness?
180-186 BibTeX
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Efficient Learning of Linear Perceptrons.
189-195 BibTeX
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Algorithmic Stability and Generalization Performance.
196-202 BibTeX
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Competition and Arbors in Ocular Dominance.
203-209 BibTeX
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From Margin to Sparsity.
210-216 BibTeX
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Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.
217-223 BibTeX
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A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work.
224-230 BibTeX
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On Reversing Jensen's Inequality.
231-237 BibTeX
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Second Order Approximations for Probability Models.
238-244 BibTeX
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Some New Bounds on the Generalization Error of Combined Classifiers.
245-251 BibTeX
- Adam Kowalczyk:
Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator.
252-258 BibTeX
- Robert A. Legenstein, Wolfgang Maass:
Foundations for a Circuit Complexity Theory of Sensory Processing.
259-265 BibTeX
- Martijn A. R. Leisink, Hilbert J. Kappen:
A Tighter Bound for Graphical Models.
266-272 BibTeX
- Dörthe Malzahn, Manfred Opper:
Learning Curves for Gaussian Processes Regression: A Framework for Good Approximations.
273-279 BibTeX
- Shie Mannor, Ron Meir:
Weak Learners and Improved Rates of Convergence in Boosting.
280-286 BibTeX
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Learning Continuous Distributions: Simulations With Field Theoretic Priors.
287-293 BibTeX
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Occam's Razor.
294-300 BibTeX
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The Kernel Trick for Distances.
301-307 BibTeX
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Regularization with Dot-Product Kernels.
308-314 BibTeX
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Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser Demodulators.
315-321 BibTeX
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Error-correcting Codes on a Bethe-like Lattice.
322-328 BibTeX
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Algebraic Information Geometry for Learning Machines with Singularities.
329-335 BibTeX
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Computing with Finite and Infinite Networks.
336-342 BibTeX
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Stagewise Processing in Error-correcting Codes and Image Restoration.
343-349 BibTeX
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Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks.
350-356 BibTeX
- Tong Zhang:
Convergence of Large Margin Separable Linear Classification.
357-363 BibTeX
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A Support Vector Method for Clustering.
367-373 BibTeX
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A Variational Mean-Field Theory for Sigmoidal Belief Networks.
374-380 BibTeX
- Timothy X. Brown:
Direct Classification with Indirect Data.
381-387 BibTeX
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Model Complexity, Goodness of Fit and Diminishing Returns.
388-394 BibTeX
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A Linear Programming Approach to Novelty Detection.
395-401 BibTeX
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Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping.
402-408 BibTeX
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Incremental and Decremental Support Vector Machine Learning.
409-415 BibTeX
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Vicinal Risk Minimization.
416-422 BibTeX
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Gaussianization.
423-429 BibTeX
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The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity.
430-436 BibTeX
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Improved Output Coding for Classification Using Continuous Relaxation.
437-443 BibTeX
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Sparse Representation for Gaussian Process Models.
444-450 BibTeX
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Explaining Away in Weight Space.
451-457 BibTeX
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458-464 BibTeX
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High-temperature Expansions for Learning Models of Nonnegative Data.
465-471 BibTeX
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Incorporating Second-Order Functional Knowledge for Better Option Pricing.
472-478 BibTeX
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Discovering Hidden Variables: A Structure-Based Approach.
479-485 BibTeX
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Accumulator Networks: Suitors of Local Probability Propagation.
486-492 BibTeX
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Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks.
493-499 BibTeX
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500-506 BibTeX
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507-513 BibTeX
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514-520 BibTeX
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`N-Body' Problems in Statistical Learning.
521-527 BibTeX
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Large Scale Bayes Point Machines.
528-534 BibTeX
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Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models.
535-541 BibTeX
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Ensemble Learning and Linear Response Theory for ICA.
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Generalizable Singular Value Decomposition for Ill-posed Datasets.
549-555 BibTeX
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Algorithms for Non-negative Matrix Factorization.
556-562 BibTeX
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Text Classification using String Kernels.
563-569 BibTeX
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Constrained Independent Component Analysis.
570-576 BibTeX
- Olvi L. Mangasarian, David R. Musicant:
Active Support Vector Machine Classification.
577-583 BibTeX
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The Unscented Particle Filter.
584-590 BibTeX
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A Mathematical Programming Approach to the Kernel Fisher Algorithm.
591-597 BibTeX
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Automatic Choice of Dimensionality for PCA.
598-604 BibTeX
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On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems.
605-611 BibTeX
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An Information Maximization Approach to Overcomplete and Recurrent Representations.
612-618 BibTeX
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Sparse Greedy Gaussian Process Regression.
619-625 BibTeX
- Martin Szummer, Tommi Jaakkola:
Kernel Expansions with Unlabeled Examples.
626-632 BibTeX
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Sparse Kernel Principal Component Analysis.
633-639 BibTeX
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Data Clustering by Markovian Relaxation and the Information Bottleneck Method.
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Active Learning for Parameter Estimation in Bayesian Networks.
647-653 BibTeX
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Mixtures of Gaussian Processes.
654-660 BibTeX
- Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky:
Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
661-667 BibTeX
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Feature Selection for SVMs.
668-674 BibTeX
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On a Connection between Kernel PCA and Metric Multidimensional Scaling.
675-681 BibTeX
- Christopher K. I. Williams, Matthias Seeger:
Using the Nyström Method to Speed Up Kernel Machines.
682-688 BibTeX
- Jonathan S. Yedidia, William T. Freeman, Yair Weiss:
Generalized Belief Propagation.
689-695 BibTeX
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A Gradient-Based Boosting Algorithm for Regression Problems.
696-702 BibTeX
- Tong Zhang:
Regularized Winnow Methods.
703-709 BibTeX
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A Silicon Primitive for Competitive Learning.
713-719 BibTeX
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Smart Vision Chip Fabricated Using Three Dimensional Integration Technology.
720-726 BibTeX
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Homeostasis in a Silicon Integrate and Fire Neuron.
727-733 BibTeX
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Fast Training of Support Vector Classifiers.
734-740 BibTeX
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Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm.
741-747 BibTeX
- Hervé Bourlard, Samy Bengio, Katrin Weber:
New Approaches Towards Robust, Adaptive Speech Recognition (invited paper).
751-757 BibTeX
- Hagai Attias, John C. Platt, Alex Acero, Li Deng:
Speech Denoising and Dereverberation Using Probabilistic Models.
758-764 BibTeX
- Un-Min Bae, Soo-Young Lee:
Combining ICA and Top-Down Attention for Robust Speech Recognition.
765-771 BibTeX
- John W. Fisher III, Trevor Darrell, William T. Freeman, Paul A. Viola:
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation.
772-778 BibTeX
- Mark J. F. Gales:
Factored Semi-Tied Covariance Matrices.
779-785 BibTeX
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Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals.
786-792 BibTeX
- Sam T. Roweis:
One Microphone Source Separation.
793-799 BibTeX
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Minimum Bayes Error Feature Selection for Continuous Speech Recognition.
800-806 BibTeX
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Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech.
807-813 BibTeX
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FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio Tracks.
814-820 BibTeX
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Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech Recognition.
821-827 BibTeX
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Shape Context: A New Descriptor for Shape Matching and Object Recognition.
831-837 BibTeX
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Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images.
838-844 BibTeX
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The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference.
845-851 BibTeX
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Feature Correspondence: A Markov Chain Monte Carlo Approach.
852-858 BibTeX
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Keeping Flexible Active Contours on Track using Metropolis Updates.
859-865 BibTeX
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Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes.
866-872 BibTeX
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Learning Segmentation by Random Walks.
873-879 BibTeX
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Partially Observable SDE Models for Image Sequence Recognition Tasks.
880-886 BibTeX
- Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki:
Learning Sparse Image Codes using a Wavelet Pyramid Architecture.
887-893 BibTeX
- Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie:
Learning and Tracking Cyclic Human Motion.
894-900 BibTeX
- Penio S. Penev:
Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local Features.
901-907 BibTeX
- Yee Whye Teh, Geoffrey E. Hinton:
Rate-coded Restricted Boltzmann Machines for Face Recognition.
908-914 BibTeX
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Divisive and Subtractive Mask Effects: Linking Psychophysics and Biophysics.
915-921 BibTeX
- Cynthia Archer, Todd K. Leen:
From Mixtures of Mixtures to Adaptive Transform Coding.
925-931 BibTeX
- Yoshua Bengio, Réjean Ducharme, Pascal Vincent:
A Neural Probabilistic Language Model.
932-938 BibTeX
- Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan:
A Comparison of Image Processing Techniques for Visual Speech Recognition Applications.
939-945 BibTeX
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Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra.
946-952 BibTeX
- Guy Mayraz, Geoffrey E. Hinton:
Recognizing Hand-written Digits Using Hierarchical Products of Experts.
953-959 BibTeX
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Sex with Support Vector Machines.
960-966 BibTeX
- Milind R. Naphade, Igor Kozintsev, Thomas S. Huang:
Probabilistic Semantic Video Indexing.
967-973 BibTeX
- Predrag Neskovic, Philip C. Davis, Leon N. Cooper:
Interactive Parts Model: An Application to Recognition of On-line Cursive Script.
974-980 BibTeX
- Vladimir Pavlovic, James M. Rehg, John MacCormick:
Learning Switching Linear Models of Human Motion.
981-987 BibTeX
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Bayes Networks on Ice: Robotic Search for Antarctic Meteorites.
988-994 BibTeX
- Vasin Punyakanok, Dan Roth:
The Use of Classifiers in Sequential Inference.
995-1001 BibTeX
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Machine Learning for Video-Based Rendering.
1002-1008 BibTeX
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Bayesian Video Shot Segmentation.
1009-1015 BibTeX
- David Andre, Stuart J. Russell:
Programmable Reinforcement Learning Agents.
1019-1025 BibTeX
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Exact Solutions to Time-Dependent MDPs.
1026-1032 BibTeX
- Jakob Carlström:
Decomposition of Reinforcement Learning for Admission Control of Self-Similar Call Arrival Processes.
1033-1039 BibTeX
- Geoffrey J. Gordon:
Reinforcement Learning with Function Approximation Converges to a Region.
1040-1046 BibTeX
- Natalia Hernandez-Gardiol, Sridhar Mahadevan:
Hierarchical Memory-Based Reinforcement Learning.
1047-1053 BibTeX
- Anders Jonsson, Andrew G. Barto:
Automated State Abstraction for Options using the U-Tree Algorithm.
1054-1060 BibTeX
- Jun Morimoto, Kenji Doya:
Robust Reinforcement Learning.
1061-1067 BibTeX
- Dirk Ormoneit, Peter W. Glynn:
Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice.
1068-1074 BibTeX
- Brian Sallans, Geoffrey E. Hinton:
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task.
1075-1081 BibTeX
- Christian R. Shelton:
Balancing Multiple Sources of Reward in Reinforcement Learning.
1082-1088 BibTeX
- Robert St-Aubin, Jesse Hoey, Craig Boutilier:
APRICODD: Approximate Policy Construction Using Decision Diagrams.
1089-1095 BibTeX
Copyright © Sat May 16 23:31:27 2009
by Michael Ley (ley@uni-trier.de)