Book

Learning to Predict Visibility and Invisibility from Occlusion Events Jonathan Marshall, Richard Alley, Robert Hubbard

Onset-based Sound Segmentation Leslie Smith

Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function Peter Stone, Manuela Veloso

A Neural Network Autoassociator for Induction Motor Failure Prediction Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Hanson, Gary Kuhn, N. Santoso

The Gamma MLP for Speech Phoneme Recognition Steve Lawrence, Ah Tsoi, Andrew Back

Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, Risto Miikkulainen

Improved Silicon Cochlea using Compatible Lateral Bipolar Transistors André van Schaik, Eric Fragnière, Eric Vittoz

On the Computational Power of Noisy Spiking Neurons Wolfgang Maass

Parallel Optimization of Motion Controllers via Policy Iteration Jefferson Coelho, R. Sitaraman, Roderic Grupen

Model Matching and SFMD Computation Steven Rehfuss, Dan Hammerstrom

Learning with ensembles: How overfitting can be useful Peter Sollich, Anders Krogh

Analog VLSI Processor Implementing the Continuous Wavelet Transform R. Edwards, Gert Cauwenberghs

A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network Marwan Jabri, Raymond Wang

Rapid Quality Estimation of Neural Network Input Representations Kevin Cherkauer, Jude Shavlik

Generating Accurate and Diverse Members of a Neural-Network Ensemble David Opitz, Jude Shavlik

A Model of Spatial Representations in Parietal Cortex Explains Hemineglect Alexandre Pouget, Terrence J. Sejnowski

Temporal Difference Learning in Continuous Time and Space Kenji Doya

Tempering Backpropagation Networks: Not All Weights are Created Equal Nicol Schraudolph, Terrence J. Sejnowski

Improving Policies without Measuring Merits Peter Dayan, Satinder Singh

Selective Attention for Handwritten Digit Recognition Ethem Alpaydin

Learning Model Bias Jonathan Baxter

Estimating the Bayes Risk from Sample Data Robert Snapp, Tong Xu

A Model of Auditory Streaming Susan McCabe, Michael Denham

Context-Dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System Dan Kershaw, Anthony Robinson, Mike Hochberg

Exploiting Tractable Substructures in Intractable Networks Lawrence Saul, Michael Jordan

Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Yang

Primitive Manipulation Learning with Connectionism Yoky Matsuoka

Silicon Models for Auditory Scene Analysis John Lazzaro, John Wawrzynek

Human Face Detection in Visual Scenes Henry Rowley, Shumeet Baluja, Takeo Kanade

SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training John Wawrzynek, Krste Asanovic, Brian Kingsbury, James Beck, David Johnson, Nelson Morgan

Pruning with generalization based weight saliencies: λOBD, λOBS Morten Pedersen, Lars Hansen, Jan Larsen

Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms Ari Juels, Martin Wattenberg

Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation Rich Caruana, Shumeet Baluja, Tom Mitchell

Exponentially many local minima for single neurons Peter Auer, Mark Herbster, Manfred K. K. Warmuth

An Information-theoretic Learning Algorithm for Neural Network Classification David J. Miller, Ajit Rao, Kenneth Rose, Allen Gersho

Improving Elevator Performance Using Reinforcement Learning Robert Crites, Andrew Barto

Optimal Asset Allocation using Adaptive Dynamic Programming Ralph Neuneier

Recursive Estimation of Dynamic Modular RBF Networks Visakan Kadirkamanathan, Maha Kadirkamanathan

A Neural Network Classifier for the I100 OCR Chip John Platt, Timothy Allen

Modeling Saccadic Targeting in Visual Search Rajesh Rao, Gregory Zelinsky, Mary Hayhoe, Dana Ballard

Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision S. Yasui, T. Furukawa, M. Yamada, T. Saito

Active Gesture Recognition using Learned Visual Attention Trevor Darrell, Alex Pentland

On Neural Networks with Minimal Weights Vasken Bohossian, Jehoshua Bruck

Neural Networks with Quadratic VC Dimension Pascal Koiran, Eduardo Sontag

Factorial Hidden Markov Models Zoubin Ghahramani, Michael Jordan

Extracting Tree-Structured Representations of Trained Networks Mark Craven, Jude Shavlik

Improving Committee Diagnosis with Resampling Techniques Bambang Parmanto, Paul Munro, Howard Doyle

The Capacity of a Bump Gary Flake

Boosting Decision Trees Harris Drucker, Corinna Cortes

Some results on convergent unlearning algorithm Serguei Semenov, Irina Shuvalova

Forward-backward retraining of recurrent neural networks Andrew W. Senior, Anthony Robinson

KODAK lMAGELINK™ OCR Alphanumeric Handprint Module Alexander Shustorovich, Christopher W. Thrasher

Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control Samuel Choi, Dit-Yan Yeung

High-Performance Job-Shop Scheduling With A Time-Delay TD(λ) Network Wei Zhang, Thomas Dietterich

Family Discovery Stephen Omohundro

Modeling Interactions of the Rat's Place and Head Direction Systems A. Redish, David Touretzky

Empirical Entropy Manipulation for Real-World Problems Paul Viola, Nicol Schraudolph, Terrence J. Sejnowski

A Neural Network Model of 3-D Lightness Perception Luiz Pessoa, William Ross

Adaptive Retina with Center-Surround Receptive Field Shih-Chii Liu, Kwabena Boahen

Does the Wake-sleep Algorithm Produce Good Density Estimators? Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan

EM Optimization of Latent-Variable Density Models Christopher Bishop, Markus Svensén, Christopher Williams

Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks A.C.C. Coolen, S. Laughton, D. Sherrington

A Realizable Learning Task which Exhibits Overfitting Siegfried Bös

Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat Hugh Blair

Clustering data through an analogy to the Potts model Marcelo Blatt, Shai Wiseman, Eytan Domany

Learning Fine Motion by Markov Mixtures of Experts Marina Meila, Michael Jordan

Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions Benjamin Van Roy, John Tsitsiklis

Generalisation of A Class of Continuous Neural Networks John Shawe-Taylor, Jieyu Zhao

Visual gesture-based robot guidance with a modular neural system Enno Littmann, Andrea Drees, Helge Ritter

Symplectic Nonlinear Component Analysis Lucas Parra

Independent Component Analysis of Electroencephalographic Data Scott Makeig, Anthony Bell, Tzyy-Ping Jung, Terrence J. Sejnowski

Competence Acquisition in an Autonomous Mobile Robot using Hardware Neural Techniques Geoffrey Jackson, Alan Murray

Gaussian Processes for Regression Christopher Williams, Carl Rasmussen

Reorganisation of Somatosensory Cortex after Tactile Training Rasmus Petersen, John Taylor

Prediction of Beta Sheets in Proteins Anders Krogh, Soren Riis

Active Learning in Multilayer Perceptrons Kenji Fukumizu

A model of transparent motion and non-transparent motion aftereffects Alexander Grunewald

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging Dirk Ormoneit, Volker Tresp

A Practical Monte Carlo Implementation of Bayesian Learning Carl Rasmussen

A Smoothing Regularizer for Recurrent Neural Networks Lizhong Wu, John Moody

REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition Yochai Konig, Hervé Bourlard, Nelson Morgan

Harmony Networks Do Not Work René Gourley

Learning Sparse Perceptrons Jeffrey Jackson, Mark Craven

The Role of Activity in Synaptic Competition at the Neuromuscular Junction Samuel Joseph, David Willshaw

Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun Jagota, Fernanda Botelho, Max Garzon

Explorations with the Dynamic Wave Model Thomas Rebotier, Jeffrey Elman

Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding Richard S. Sutton

A Multiscale Attentional Framework for Relaxation Neural Networks Dimitris Tsioutsias, Eric Mjolsness

VLSI Model of Primate Visual Smooth Pursuit Ralph Etienne-Cummings, Jan Van der Spiegel, Paul Mueller

Reinforcement Learning by Probability Matching Philip N. Sabes, Michael Jordan

Generalized Learning Vector Quantization Atsushi Sato, Keiji Yamada

Bayesian Methods for Mixtures of Experts Steve Waterhouse, David MacKay, Anthony Robinson

High-Speed Airborne Particle Monitoring Using Artificial Neural Networks Alistair Ferguson, Theo Sabisch, Paul Kaye, Laurence Dixon, Hamid Bolouri

Adaptive Mixture of Probabilistic Transducers Yoram Singer

SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues Bartlett Mel

Using Pairs of Data-Points to Define Splits for Decision Trees Geoffrey E. Hinton, Michael Revow

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks David Saad, Sara Solla

Geometry of Early Stopping in Linear Networks Robert Dodier

A Unified Learning Scheme: Bayesian-Kullback Ying-Yang Machine Lei Xu

Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski

A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex Olivier Coenen, Terrence J. Sejnowski

Constructive Algorithms for Hierarchical Mixtures of Experts Steve Waterhouse, Anthony Robinson

Discovering Structure in Continuous Variables Using Bayesian Networks Reimar Hofmann, Volker Tresp

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway Richard Kempter, Wulfram Gerstner, J. van Hemmen, Hermann Wagner

Stable Dynamic Parameter Adaption Stefan Rüger

Optimizing Cortical Mappings Geoffrey Goodhill, Steven Finch, Terrence J. Sejnowski

Experiments with Neural Networks for Real Time Implementation of Control Peter Campbell, Michael Dale, Herman Ferrá, Adam Kowalczyk

Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex Michael Hasselmo, Milos Cekic

Dynamics of Attention as Near Saddle-Node Bifurcation Behavior Hiroyuki Nakahara, Kenji Doya

Softassign versus Softmax: Benchmarks in Combinatorial Optimization Steven Gold, Anand Rangarajan

From Isolation to Cooperation: An Alternative View of a System of Experts Stefan Schaal, Christopher Atkeson

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks Tommi Jaakkola, Lawrence Saul, Michael Jordan

Neural Control for Nonlinear Dynamic Systems Ssu-Hsin Yu, Anuradha Annaswamy

Sample Complexity for Learning Recurrent Perceptron Mappings Bhaskar DasGupta, Eduardo Sontag

Is Learning The n-th Thing Any Easier Than Learning The First? Sebastian Thrun

Parallel analog VLSI architectures for computation of heading direction and time-to-contact Giacomo Indiveri, Jörg Kramer, Christof Koch

A Dynamical Systems Approach for a Learnable Autonomous Robot Jun Tani, Naohiro Fukumura

Optimization Principles for the Neural Code Michael DeWeese

A Framework for Non-rigid Matching and Correspondence Suguna Pappu, Steven Gold, Anand Rangarajan

Hierarchical Recurrent Neural Networks for Long-Term Dependencies Salah Hihi, Yoshua Bengio

Finite State Automata that Recurrent Cascade-Correlation Cannot Represent Stefan Kremer

Memory-based Stochastic Optimization Andrew Moore, Jeff Schneider

Handwritten Word Recognition using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models Bernard Lemarié, Michel Gilloux, Manuel Leroux

Universal Approximation and Learning of Trajectories Using Oscillators Pierre Baldi, Kurt Hornik

Correlated Neuronal Response: Time Scales and Mechanisms Wyeth Bair, Ehud Zohary, Christof Koch

Worst-case Loss Bounds for Single Neurons David Helmbold, Jyrki Kivinen, Manfred K. K. Warmuth

Stock Selection via Nonlinear Multi-Factor Models Asriel Levin

The Geometry of Eye Rotations and Listing's Law Amir Handzel, Tamar Flash

When is an Integrate-and-fire Neuron like a Poisson Neuron? Charles Stevens, Anthony Zador

Examples of learning curves from a modified VC-formalism Adam Kowalczyk, Jacek Szymanski, Peter Bartlett, Robert C. Williamson

Using Unlabeled Data for Supervised Learning Geoffrey Towell

Implementation Issues in the Fourier Transform Algorithm Yishay Mansour, Sigal Sahar

A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split Michael Kearns

Classifying Facial Action Marian Bartlett, Paul Viola, Terrence J. Sejnowski, Beatrice Golomb, Jan Larsen, Joseph Hager, Paul Ekman

Strong Unimodality and Exact Learning of Constant Depth µ-Perceptron Networks Mario Marchand, Saeed Hadjifaradji

Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks James Howse, Chaouki Abdallah, Gregory Heileman

A New Learning Algorithm for Blind Signal Separation Shun-ichi Amari, Andrzej Cichocki, Howard Yang

Adaptive Back-Propagation in On-Line Learning of Multilayer Networks Ansgar West, David Saad

Neuron-MOS Temporal Winner Search Hardware for Fully-Parallel Data Processing Tadashi Shibata, Tsutomu Nakai, Tatsuo Morimoto, Ryu Kaihara, Takeo Yamashita, Tadahiro Ohmi

Human Reading and the Curse of Dimensionality Gale Martin

Unsupervised Pixel-prediction William Softky

Control of Selective Visual Attention: Modeling the "Where" Pathway Ernst Niebur, Christof Koch

Quadratic-Type Lyapunov Functions for Competitive Neural Networks with Different Time-Scales Anke Meyer-Bäse

Learning long-term dependencies is not as difficult with NARX networks Tsungnan Lin, Bill Horne, Peter Tiño, C. Giles

Learning the Structure of Similarity Joshua Tenenbaum

Investment Learning with Hierarchical PSOMs Jörg Walter, Helge Ritter

How Perception Guides Production in Birdsong Learning Christopher Fry

Stable Fitted Reinforcement Learning Geoffrey J. Gordon

Information through a Spiking Neuron Charles Stevens, Anthony Zador

Discriminant Adaptive Nearest Neighbor Classification and Regression Trevor Hastie, Robert Tibshirani

A Predictive Switching Model of Cerebellar Movement Control Andrew Barto, James Houk

Recurrent Neural Networks for Missing or Asynchronous Data Yoshua Bengio, Francois Gingras

Advances in Neural Information Processing Systems 8 (NIPS 1995)

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