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NIPS*1996
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| Title Pages [ps][pdf][djvu] Text-Based Information Retrieval Using Exponentiated Gradient Descent, Ron Papka, James P. Callan and Andrew G. Barto [ps][pdf][djvu] Why did TD-Gammon Work?, Jordan B. Pollack and Alan D. Blair [ps][pdf][djvu] Neural Models for Part-Whole Hierarchies, Maximilian Riesenhuber and Peter Dayan [ps][pdf][djvu] Temporal Low-Order Statistics of Natural Sounds, H. Attias and C. E. Schreiner [ps][pdf][djvu] Reconstructing Stimulus Velocity from Neuronal Responses in Area MT, Wyeth Bair, James R. Cavanaugh and J. Anthony Movshon [ps][pdf][djvu] 3D Object Recognition: A Model of View-Tuned Neurons, Emanuela Bricolo, Tomaso Poggio and Nikos Logothetis [ps][pdf][djvu] A Hierarchical Model of Visual Rivalry, Peter Dayan [ps][pdf][djvu] Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans, Thomas C. Ferree, Ben A. Marcotte and Shawn R. Lockery [ps][pdf][djvu] Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish, Fabrizio Gabbiani, Walter Metzner, Ralf Wessel and Christof Koch [ps][pdf][djvu] A Neural Model of Visual Contour Integration, Zhaoping Li [ps][pdf][djvu] Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings, Laura Martignon, Kathryn Laskey, Gustavo Deco and Eilon Vaadia [ps][pdf][djvu] Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation, Bartlett W. Mel, Daniel L. Ruderman and Kevin A. Archie [ps][pdf][djvu] Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex, Klaus R. Pawelzik, Udo Ernst, Fred Wolf and Theo Geisel [ps][pdf][djvu] Statistically Efficient Estimations Using Cortical Lateral Connections, Alexandre Pouget and Kechen Zhang [ps][pdf][djvu] An Architectural Mechanism for Direction-tuned Cortical Simple Cells: The Role of Mutual Inhibition, Silvio P. Sabatini, Fabio Solari and Giacomo M. Bisio [ps][pdf][djvu] Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input, Akaysha C. Tang, Andreas M. Bartels and Terrence J. Sejnowski [ps][pdf][djvu] A Model of Recurrent Interactions in Primary Visual Cortex, Emanuel Todorov, Athanassios Siapas and David Somers [ps][pdf][djvu] Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient, Shun-ichi Amari [ps][pdf][djvu] For Valid Generalization, the Size of the Weights is More Important than the Size of the Network, Peter L. Bartlett [ps][pdf][djvu] Dynamics of Training, Siegfried Bos and Manfred Opper [ps][pdf][djvu] Multilayer Neural Networks: One or Two Hidden Layers?, G. Brightwell, C. Kenyon and Helene Paugam-Moisy [ps][pdf][djvu] Support Vector Regression Machines, Harris Drucker, Chris J.C. Burges, Linda Kaufman, Alex Smola and Vladimir Vapnik [ps][pdf][djvu] Size of Multilayer Networks for Exact Learning: Analytic Approach, Andre Elisseeff and Helene Paugam-Moisy [ps][pdf][djvu] The Effect of Correlated Input Data on the Dynamics of Learning, Soren Halkjaer and Ole Winther [ps][pdf][djvu] Practical Confidence and Prediction Intervals, Tom Heskes [ps][pdf][djvu] Statistical Mechanics of the Mixture of Experts, Kukjin Kang and Jong-Hoon Oh [ps][pdf][djvu] MLP Can Provably Generalize Much Better than VC-bounds Indicate, A. Kowalczyk and H. Ferra [ps][pdf][djvu] Radial Basis Function Networks and Complexity Regularization in Function Learning, Adam Krzyzak and Tamas Linder [ps][pdf][djvu] An Apobayesian Relative of Winnow, Nick Littlestone and Chris Mesterharm [ps][pdf][djvu] Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons, Wolfgang Maass [ps][pdf][djvu] On the Effect of Analog Noise in Discrete-Time Analog Computations, Wolfgang Maass and Pekka Orponen [ps][pdf][djvu] A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks, Manfred Opper and Ole Winther [ps][pdf][djvu] Removing Noise in On-Line Search using Adaptive Batch Sizes, Genevieve B. Orr [ps][pdf][djvu] Are Hopfield Networks Faster than Conventional Computers?, Ian Parberry and Hung-Li Tseng [ps][pdf][djvu] Hebb Learning of Features based on their Information Content, Ferdinand Peper and Hideki Noda [ps][pdf][djvu] The Generalisation Cost of RAMnets, Richard Rohwer and Michal Morciniec [ps][pdf][djvu] Learning with Noise and Regularizers in Multilayer Neural Networks, David Sand and Sara A. Solla [ps][pdf][djvu] A Variational Principle for Model-based Morphing, Lawrence K. Saul and Michael I. Jordan [ps][pdf][djvu] Online Learning from Finite Training Sets: An Analytical Case Study, Peter Sollich and David Barber [ps][pdf][djvu] Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing, Vladimir Vapnik, Steven E. Golowich and Alex Smola [ps][pdf][djvu] The Learning Dynamcis of a Universal Approximator, Ansgar H. L. West, David Sand and Ian T. Nabney [ps][pdf][djvu] Computing with Infinite Networks, Christopher K. I. Williams [ps][pdf][djvu] Microscopic Equations in Rough Energy Landscape for Neural Networks, K. Y. Michael Wong [ps][pdf][djvu] Time Series Prediction using Mixtures of Experts, Assaf J. Zeevi, Ron Meir and Robert J. Adler [ps][pdf][djvu] Genetic Algorithms and Explicit Search Statistics, Shumeet Baluja [ps][pdf][djvu] Consistent Classification, Firm and Soft, Yoram Baram [ps][pdf][djvu] Bayesian Model Comparison by Monte Carlo Chaining, David Barber and Christopher M. Bishop [ps][pdf][djvu] Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo, David Barber and Christopher K. I. Williams [ps][pdf][djvu] Regression with Input-Dependent Noise: A Bayesian Treatment, Christopher M. Bishop and Cazhaow S. Qazaz [ps][pdf][djvu] GTM: A Principled Alternative to the Self-Organizing Map, Christopher M. Bishop, Markus Svensen and Christopher K. I. Williams [ps][pdf][djvu] The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking, A. Blake and M. Isard [ps][pdf][djvu] Clustering via Concave Minimization, P. S. Bradley, O. L. Mangasarian and W. N. Street [ps][pdf][djvu] Improving the Accuracy and Speed of Support Vector Machines, Chris J.C. Burges and B. Scholkopf [ps][pdf][djvu] Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach, A. Neil Burgess [ps][pdf][djvu] Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs, Rich Caruana and Virginia R. de Sa [ps][pdf][djvu] Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition, Chanchal Chatterjee and Vwani P. Roychowdhury [ps][pdf][djvu] Representation and Induction of Finite State Machines using Time-Delay Neural Networks, Daniel S. Clouse, C. Lee Giles, Bill G. Home and Garrison W. Cottrell [ps][pdf][djvu] 488 Solutions to the XOR Problem, Frans M. Coetzee and Virginia L. Stonick [ps][pdf][djvu] Minimizing Statistical Bias with Queries, David A. Cohn [ps][pdf][djvu] MIMIC: Finding Optima by Estimating Probability Densities, Jeremy S. de Bonet, Charles L. Isbell, Jr. and Paul Viola [ps][pdf][djvu] On a Modification to the Mean Field EM Algorithm in Factorial Learning, A. P. Dunmur and D. M. Titterington [ps][pdf][djvu] Softening Discrete Relaxation, Andrew M. Finch, Richard C. Wilson and Edwin R. Hancock [ps][pdf][djvu] Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling, Arthur Flexer [ps][pdf][djvu] Continuous Sigmoidal Belief Networks Trained using Slice Sampling, Brendan J. Frey [ps][pdf][djvu] Adaptively Growing Hierarchical Mixtures of Experts, Juergen Fritsch, Michael Finke and Alex Waibel [ps][pdf][djvu] Balancing Between Bagging and Bumping, Tom Heskes [ps][pdf][djvu] LSTM can Solve Hard Long lime Lag Problems, Sepp Hochreiter and Jurgen Schmidhuber [ps][pdf][djvu] One-unit Learning Rules for Independent Component Analysis, Aapo Hyvarinen and Erkki Oja [ps][pdf][djvu] Recursive Algorithms for Approximating Probabilities in Graphical Models, Tommi S. Jaakkola and Michael I. Jordan [ps][pdf][djvu] Combinations of Weak Classifiers, Chuanyi Ji and Sheng Ma [ps][pdf][djvu] Hidden Markov Decision Trees, Michael I. Jordan, Zoubin Ghahramani and Lawrence K. Saul [ps][pdf][djvu] Unification of Information Maximization and Minimization, Ryotaro Kamimura [ps][pdf][djvu] Unsupervised Learning by Convex and Conic Coding, D. D. Lee and H. S. Seung [ps][pdf][djvu] ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers, Friedrich Leisch and Kurt Hornik [ps][pdf][djvu] Bayesian Unsupervised Learning of Higher Order Structure, Michael S. Lewicki and Terrence J. Sejnowski [ps][pdf][djvu] Source Separation and Density Estimation by Faithful Equivariant SOM, Juan K. Lin, Jack D. Cowan and David G. Grier [ps][pdf][djvu] NeuroScale: Novel Topographic Feature Extraction using RBF Networks, David Lowe and Michael E. Tipping [ps][pdf][djvu] Ordered Classes and Incomplete Examples in Classification, Mark Mathieson [ps][pdf][djvu] Triangulation by Continuous Embedding, Marina Meila and Michael I. Jordan [ps][pdf][djvu] Combining Neural Network Regression Estimates with Regularized Linear Weights, Christopher J. Merz and Michael J. Pazzani [ps][pdf][djvu] A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data, David J. Miller and Hasan S. Uyar [ps][pdf][djvu] Learning Bayesian Belief Networks with Neural Network Estimators, Stefano Monti and Gregory F. Cooper [ps][pdf][djvu] Smoothing Regularizers for Projective Basis Function Networks, John E. Moody and Thorsteinn S. Rognvaldsson [ps][pdf][djvu] Competition Among Networks Improves Committee Performance, Paul W. Munro and Bambang Parmanto [ps][pdf][djvu] Adaptive On-line Learning in Changing Environments, Noboru Murata, Klaus-Robert Muller, Andreas Ziehe and Shun-ichi Amari [ps][pdf][djvu] Using Curvature Information for Fast Stochastic Search, Genevieve B. Orr and Todd K. Leen [ps][pdf][djvu] Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA, Barak A. Pearlmutter and Lucas C. Parra [ps][pdf][djvu] A Convergence Prooffor the Softassign Quadratic Assignment Algorithm, Anand Rangarajan, Alan Yuille, Steven Gold and Eric Mjolsness [ps][pdf][djvu] Second-order Learning Algorithm with Squared Penalty Term, Kazumi Saito and Ryohei Nakano [ps][pdf][djvu] Monotonicity Hints, Joseph Sill and Yaser S. Abu-Mostafa [ps][pdf][djvu] Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions, Yoram Singer and Manfred K. Warmuth [ps][pdf][djvu] Clustering Sequences with Hidden Markov Models, Padhraic Smyth [ps][pdf][djvu] Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm, Achim Stahiberger and Martin Riedmiller [ps][pdf][djvu] Separating Style and Content, Joshua B. Tenenbaum and William T. Freeman [ps][pdf][djvu] Early Brain Damage, Volker Tresp, Ralph Neuneier and Hans Georg Zimmermann [ps][pdf][djvu] Probabilistic Interpretation of Population Codes, Richard S. Zemel, Peter Dayan and Alexandre Pouget [ps][pdf][djvu] VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer, Ralph Etienne-Cummings, Jan van der Spiegel, Naomi Takahashi, Alyssa Apsel and Paul Mueller [ps][pdf][djvu] A Spike Based Learning Neuron in Analog VLSI, Philipp Hafliger, Misha Mahowald and Lloyd Watts [ps][pdf][djvu] An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration, John G. Harris and Yu-Ming Chiang [ps][pdf][djvu] Analog VLSI Circuits for Attention-Based, Visual Tracking, Timothy Horiuchi, Tonia G. Morris, Christof Koch and Stephen P. DeWeerth [ps][pdf][djvu] Dynamically Adaptable CMOS Winner-Take-All Neural Network, Kunihiko Iizuka, Masayuki Miyamoto and Hirofumi Matsui [ps][pdf][djvu] An Adaptive WTA using Floating Gate Technology, W. Fritz Kruger, Paul Hasler, Bradley A. Minch and Christof Koch [ps][pdf][djvu] A Micropower Analog VLSI HMM State Decoder for Wordspotting, John Lazzaro, John Wawrzynek and Richard Lippmann [ps][pdf][djvu] Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing, Fernando J. Pineda, Gert Cauwenberghs and R. Timothy Edwards [ps][pdf][djvu] A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem, Andre van Schaik, Eric Fragniere and Eric Vittoz [ps][pdf][djvu] Dynamic Features for Visual Speechreading: A Systematic Comparison, Michael S. Gray, Javier R. Movellan and Terrence J. Sejnowski [ps][pdf][djvu] Blind Separation of Delayed and Convolved Sources, Te-Won Lee, Anthony J. Bell and Russell H. Lambert [ps][pdf][djvu] A Constructive RBF Network for Writer Adaptation, John C. Platt and Nada P. Matio [ps][pdf][djvu] A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks, G. Rigoll and C. Neukirchen [ps][pdf][djvu] Neural Network Modeling of Speech and Music Signals, Alex Robel [ps][pdf][djvu] A Constructive Learning Algorithm for Discriminant Tangent Models, Diego Sona, Alessandro Sperduti and Antonina Starita [ps][pdf][djvu] Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation, Eric A. Wan and Alex T. Nelson [ps][pdf][djvu] Ensemble Methods for Phoneme Classification, Steve Waterhouse and Gary Cook [ps][pdf][djvu] Effective Training of a Neural Network Character Classifier for Word Recognition, Larry Yaeger, Richard Lyon and Brandyn Webb [ps][pdf][djvu] Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks, Marian Stewart Bartlett and Terrence J. Sejnowski [ps][pdf][djvu] Learning Temporally Persistent Hierarchical Representations, Suzanna Becker [ps][pdf][djvu] Edges are the Anthony J. Bell and Terrence J. Sejnowski [ps][pdf][djvu] Compositionality, MDL Priors, and Object Recognition, Elie Bienenstock, Stuart Geman and Daniel Potter [ps][pdf][djvu] Learning Appearance Based Models: Mixtures of Second Moment Experts, Christoph Bregler and Jitendra Malik [ps][pdf][djvu] Spatial Decorrelation in Orientation Tuned Cortical Cells, Alexander Dimitrov and Jack D. Cowan [ps][pdf][djvu] Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities, Dawei W. Dong [ps][pdf][djvu] Selective Integration: A Model for Disparity Estimation, Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan and Terrence J. Sejnowski [ps][pdf][djvu] ARTEX: A Self-organizing Architecture for Classifying Image Regions, Stephen Grossberg and James R. Williamson [ps][pdf][djvu] Contour Organisation with the EM Algorithm J. A. F Leite and Edwin R. Hancock [ps][pdf][djvu] Visual Cortex Circuitry and Orientation Tuning, Trevor Mundel, Alexander Dimitrov and Jack D. Cowan [ps][pdf][djvu] Representing Face Images for Emotion Classification, Curtis Padgett and Garrison W. Cottrell [ps][pdf][djvu] Rapid Visual Processing using Spike Asynchrony, Simon J. Thorpe and Jacques Gautrais [ps][pdf][djvu] Interpreting Images by Propagating Bayesian Beliefs, Yair Weiss [ps][pdf][djvu] Salient Contour Extraction by Temporal Binding in a Cortically-based Network, Shih-Cheng Yen and Leif H. Finkel [ps][pdf][djvu] An Orientation Selective Neural Network for Pattern Identification in Particle Detectors, Halina Abramowicz, David Horn, Ury Naftaly and Carmit Sahar-Pikielny [ps][pdf][djvu] Adaptive Access Control Applied to Ethernet Data, Timothy X. Brown [ps][pdf][djvu] Predicting Lifetimes in Dynamically Allocated Memory, David A. Cohn and Satinder Singh [ps][pdf][djvu] Multi-Task Learning for Stock Selection, Joumana Ghosn and Yoshua Bengio [ps][pdf][djvu] The Neurothermostat: Predictive Optimal Control of Residential Heating Systems, Michael C. Mozer, Lucky Vidmar and Robert H. Dodier [ps][pdf][djvu] Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches, Mahesan Niranjan [ps][pdf][djvu] A Comparison between Neural Networks and other Statistical Techniques for Modeling the Relationship between Tobacco andAlcohol and Cancer, Tony Plate, Pierre Band, Joel Bert and John Grace [ps][pdf][djvu] Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems, Satinder Singh and Dimitri Bertsekas [ps][pdf][djvu] Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks, Kagan Turner, Nirmala Ramanujam, Rebecca Richards-Korturn and Joydeep Ghosh [ps][pdf][djvu] Interpolating Earth-science Data using RBF Networks and Mixtures of Experts, Ernest Wan and Don Bone [ps][pdf][djvu] Multi-effect Decompositions for Financial Data Modeling, Lizhong Wu and John E. Moody [ps][pdf][djvu] Multidimensional Triangulation and Interpolation for Reinforcement Learning, Scott Davies [ps][pdf][djvu] Efficient Nonlinear Control with Actor-Tutor Architecture, Kenji Doya [ps][pdf][djvu] Local Bandit Approximation for Optimal Learning Problems, Michael O. Duff and Andrew G. Barto [ps][pdf][djvu] Reinforcement Learning for Mixed Open-loop and Closed-loop Control, Eric A. Hansen, Andrew G. Barto and Shiomo Zilberstein [ps][pdf][djvu] Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes, Stephan Pareigis [ps][pdf][djvu] Learning from Demonstration, Stefan Schaal [ps][pdf][djvu] Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning, Jeff G. Schneider [ps][pdf][djvu] Analytical Mean Squared Error Curves in Temporal Difference Learning, Satinder Singh and Peter Dayan [ps][pdf][djvu] Learning Decision Theoretic Utilities through Reinforcement Learning, Magnus Stensmo and Terrence J. Sejnowski [ps][pdf][djvu] On-line Policy Improvement using Monte-Carlo Search, Gerald Tesauro and Gregory R. Galperin [ps][pdf][djvu] Analysis of Temporal-Difference Learning with Function Approximation, John N. Tsitsiklis and Benjamin Van Roy [ps][pdf][djvu] Approximate Solutions to Optimal Stopping Problems, John N. Tsitsiklis and Benjamin Van Roy [ps][pdf][djvu] Index of Authors [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] |