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NIPS*1995
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| Title Pages [ps][pdf][djvu] Learning the Structure of Similarity J. B. TENENBAUM [ps][pdf][djvu] A Model of Spatial Representations in Parietal Cortex Explains Hemineglect A. POUGET, T. J. SEJNOWSKI [ps][pdf][djvu] Human Reading and the Curse of Dimensionality G. L. MARTIN [ps][pdf][djvu] Extracting Tree-structured Representations of Trained Networks M. W. CRAVEN, J. W. SHAVLIK [ps][pdf][djvu] Harmony Networks Do Not Work R. GOURLEY [ps][pdf][djvu] Dynamics of Attention as Near Saddle-node Bifurcation Behavior H. NAKAHARA, K. DOYA [ps][pdf][djvu] Rapid Quality Estimation of Neural Network Input Representations K. J. CHERKAUER, J. W. SHAVLIK [ps][pdf][djvu] A Model of Auditory Streaming S. L. MCCABE, M. J. DENHAM [ps][pdf][djvu] Modeling Interactions of the Rat's Place and Head Direction Systems A. D. REDISH, D. S. TOURETZKY [ps][pdf][djvu] Correlated Neuronal Response: Time Scales and Mechanisms W. BAIR, E. ZOHARY, C. KOCH [ps][pdf][djvu] Information through a Spiking Neuron C. STEVENS, A. ZADOR [ps][pdf][djvu] Reorganization of Somatosensory Cortex after Tactile Training R. S. PETERSEN. J. G. TAYLOR [ps][pdf][djvu] A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex O. J. M. D. COENEN, T. J. SEJNOWSKI [ps][pdf][djvu] The Role of Activity in Synaptic Competition at the Neuromuscular Junction S. R. H. JOSEPH, D. J. WILLSHAW [ps][pdf][djvu] When Is an Integrate-and-fire Neuron like a Poisson Neuron? C. F. STEVENS, A. ZADOR [ps][pdf][djvu] How Perception Guides Production in Birdsong Learning C. L. FRY [ps][pdf][djvu] The Geometry of Eye Rotations and Listing's Law A. A. HANDZEL, T. FLASH [ps][pdf][djvu] Temporal Coding in the Submillisecond Range: Model of Barn Owl Auditory Pathway R. KEMPTER, W. GERSTNER, J. L. VAN HEMMEN, H. WAGNER [ps][pdf][djvu] Cholinergic Suppression of Transmission May Allow Combined Associative Memory Function and Self-organization in the Neocortex M. E. HASSELMO, M. CEKIC [ps][pdf][djvu] A Predictive Switching Model of Cerebellar Movement Control A. G. BARTO, J. T. BUCKINGHAM, J. C. HOUK [ps][pdf][djvu] Independent Component Analysis of Electroencephalographic Data S. MAKEIG, A. J. BELL, T. P. JUNG, T. J. SEJNOWSKI [ps][pdf][djvu] Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat H. T. BLAIR [ps][pdf][djvu] Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision S. YASUI, T. FURUKAWA, M. YAMADA, T. SAITO [ps][pdf][djvu] Learning Model Bias J. BAXTER [ps][pdf][djvu] Statistical Theory of Overtraining--Is Cross-Validation Asymptotically Effective? S. AMARI, N. MURATA, K. R. MULLER, M. FINKE, H. YANG [ps][pdf][djvu] A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split M. KEARNS [ps][pdf][djvu] Learning with Ensembles: How Overfitting Can Be Useful P. SOLLLCH, A. KROGH [ps][pdf][djvu] Neural Networks with Quadratic VC Dimension P. KOIRAN, E. D. SONTAG [ps][pdf][djvu] Sample Complexity for Learning Recurrent Perceptron Mappings B. DASGUPTA, E. D. SONTAG [ps][pdf][djvu] On the Computational Power of Noisy Spiking Neurons W. MAASS [ps][pdf][djvu] A Realizable Learning Task Which Exhibits Overfitting S. BOS [ps][pdf][djvu] Stable Dynamic Parameter Adaptation S. M. RUGER [ps][pdf][djvu] Estimating the Bayes Risk from Sample Data R. R. SNAPP, T. XU [ps][pdf][djvu] Recursive Estimation of Dynamic Modular RBF Networks V. KADIRKAMANATHAN, M. KADIRKAMANATHAN [ps][pdf][djvu] On Neural Networks with Minimal Weights V. BOHOSSIAN, J. BRUCK [ps][pdf][djvu] Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks A. C. C. COOLEN, S. N. LAUGHTON, D. SHERRINGTON [ps][pdf][djvu] Implementation Issues in the Fourier Transform Algorithm Y. MANSOUR, S. SAHAR [ps][pdf][djvu] Generalisation of a Class of Continuous Neural Networks J. SHAWE-TAYLOR, J. ZHAO [ps][pdf][djvu] Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks J. W. HOWSE, C. T. ABDALLAH, G. L. HEILEMAN [ps][pdf][djvu] Optimization Principles for the Neural Code M. DEWEESE [ps][pdf][djvu] Strong Unimodality and Exact Learning of Constant Depth μ-Perceptron Networks M. MARCHAND, S. HADJIFARADJI [ps][pdf][djvu] Active Learning in Multilayer Perceptrons K. FUKUMIZU [ps][pdf][djvu] Dynamics of On-line Gradient Descent Learning for Multilayer Neural Networks D. SAAD, S. A. SOLLA [ps][pdf][djvu] Worst-case Loss Bounds for Single Neurons D. P. HELMBOLD, J. KIVINEN, M. K. WARMUTH [ps][pdf][djvu] Exponentially Many Local Minima for Single Neurons P. AUER, M. HERBSTER, M. K. WARMUTH [ps][pdf][djvu] Adaptive Back-Propagation in On-line Learning of Multilayer Networks A. H. L. WEST, D. SAAD [ps][pdf][djvu] Optimizing Cortical Mappings G. J. GOODHILL, S. FINCH, T.J. SEJNOWSKI [ps][pdf][djvu] Quadratic-type Lyapunov Functions for Competitive Neural Networks with Different Time-scales A. MEYER-BASE [ps][pdf][djvu] Examples of Learning Curves from a Modified VC-formalism A. KOWALCZYK, J. SZYMANSKI, P. L. BARTLETT, R. C. WILLIAMSON [ps][pdf][djvu] Bayesian Methods for Mixtures of Experts S. WATERHOUSE, D. MACKAY, T. ROBINSON [ps][pdf][djvu] Some Results on Convergent Unlearning Algorithm S. A. SEMENOV, I. B. SHUVALOVA [ps][pdf][djvu] Geometry of Early Stopping in Linear Networks R. DODIER [ps][pdf][djvu] Absence of Cycles in Symmetric Neural Networks X. WANG, A. JAGOTA, E BOTELHO, M. GARZON [ps][pdf][djvu] Adaptive Mixture of Probabilistic Transducers Y. SINGER [ps][pdf][djvu] REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities--Application to Transition-based Connectionist Speech Recognition Y. KONIG, H. BOURLARD, N. MORGAN [ps][pdf][djvu] Recurrent Neural Networks for Missing or Asynchronous Data Y. BENGIO, F. GINGRAS [ps][pdf][djvu] Family Discovery S. M. OMOHUNDRO [ps][pdf][djvu] Discriminant Adaptive Nearest Neighbor Classification and Regression T. HASTIE, R. TIBSHIRANI [ps][pdf][djvu] Clustering Data through an Analogy to the Potts Model M. BLATT, S. WISEMAN, E. DOMANY [ps][pdf][djvu] Generalized Learning Vector Quantization A. SATO, K. YAMADA [ps][pdf][djvu] Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms A. JUELS, M. WATTENBERG [ps][pdf][djvu] Symplectic Nonlinear Component Analysis L. C. PARRA [ps][pdf][djvu] A Unified Learning Scheme: Bayesian-Kuilback Ying-Yang Machine L. XU [ps][pdf][djvu] Universal Approximation and Learning of Trajectories Using Oscillators P. BALDI, K. HORNIK [ps][pdf][djvu] A Smoothing Regularizer for Recurrent Neural Networks L. WU, J. MOODY [ps][pdf][djvu] EM Optimization of Latent-Variable Density Models C. M. BISHOP, M. SVENSEN, C. K. I. WILLIAMS [ps][pdf][djvu] Factorial Hidden Markov Models Z. GHAHRAMANI, M. I. JORDAN [ps][pdf][djvu] Boosting Decision Trees H. DRUCKER, C. CORTES [ps][pdf][djvu] Exploiting Tractable Substructures in Intractable Networks L. K. SAUL. M. I. JORDAN [ps][pdf][djvu] Hierarchical Recurrent Neural Networks for Long-term Dependencies S. E. HIHI, Y. BENGIO [ps][pdf][djvu] Discovering Structure in Continuous Variables Using Bayesian Networks R. HOFMANN, V. TRESP [ps][pdf][djvu] Using Pairs of Data Points to Define Splits for Decision Trees G. E. HINTON, M. REVOW [ps][pdf][djvu] Gaussian Processes for Regression C. K. I. WILLIAMS, C. E. RASMUSSEN [ps][pdf][djvu] Pruning with Generalization Based Weight Saliencies: λOBD, λOBS M. W. PEDERSEN. L. K. HANSEN, J. LARSEN [ps][pdf][djvu] Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks T. JAAKKOLA, L. K. SAUL. M., I. JORDAN [ps][pdf][djvu] Generating Accurate and Diverse Members of a Neural-network Ensemble D. W. OPITZ, J. W. SHAVLIK [ps][pdf][djvu] Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging D. ORMONEIT, V. TRESP [ps][pdf][djvu] Explorations with the Dynamic Wave Model T. P. REBOTIER, J. L. ELMAN [ps][pdf][djvu] The Capacity of a Bump G. W. FLAKE [ps][pdf][djvu] Tempering Backpropagation Networks: Not All Weights Are Created Equal N. N. SCHRAUDOLPH, T. J. SEJNOWSKI [ps][pdf][djvu] Investment Learning with Hierarchical PSOM5 J. WALTER, H. RITTER [ps][pdf][djvu] Learning Long-term Dependencies Is Not as Difficult with NARX Networks T. LIN, B. G. HORNE, P. TINO, C. L. GILES [ps][pdf][djvu] Constructive Algorithms for Hierarchical Mixtures of Experts S. R. WATERHOUSE, A. J. ROBINSON [ps][pdf][djvu] An Information-theoretic Learning Algorithm for Neural Network Classification D. MILLER, A. RAO, K. ROSE, A. GERSHO [ps][pdf][djvu] A Practical Monte Carlo Implementation of Bayesian Learning C. E. RASMUSSEN [ps][pdf][djvu] From Isolation to Cooperation: An Alternative View of a System of Experts S. SCHAAL, C. C. ATKESON [ps][pdf][djvu] Finite State Automata that Recurrent Cascade-Correlation Cannot Represent S. C. KREMER [ps][pdf][djvu] SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training J. WAWRZYNEK. K. ASANOVIC, B. KINGSBURY, J. BECK, D. JOHNSON, N. MORGAN [ps][pdf][djvu] Softassign versus Softmax: Benchmarks in Combinatorial Optimization S. GOLD, A. RANGARAJAN [ps][pdf][djvu] A Multiscale Attentional Framework for Relaxation Neural Networks D. I. TSIOUTSIAS, E. MJOLSNESS [ps][pdf][djvu] Is Learning the n-th Thing Any Easier Than Learning the First? S. THRUN [ps][pdf][djvu] Using Unlabeled Data for Supervised Learning G. TOWELL [ps][pdf][djvu] Learning Sparse Perceptrons J. C. JACKSON, M. W. CRAVEN [ps][pdf][djvu] Does the Wake-sleep Algorithm Produce Good Density Estimators? B. J. FREY, G. E. HINTON, P. DAYAN [ps][pdf][djvu] Improved Silicon Cochlea Using Compatible Lateral Bipolar Transistors A. VAN SCHAIK, E. FRAGNIERE, E. VITTOZ [ps][pdf][djvu] Adaptive Retina with Center-Surround Receptive Field S. C. LIU. K. BOAHEN [ps][pdf][djvu] Neuron-MOS Temporal Winner Search Hardware for Fully-parallel Data Processing T. SHIBATA, T. NAKAI, T. MORIMOTO. R. KAIHARA, T. YAMASHITA, T. OHMI [ps][pdf][djvu] Analog VLSI Processor Implementing the Continuous Wavelet Transform R. T. EDWARDS. G. CAUWENBERGHS [ps][pdf][djvu] Silicon Models for Auditory Scene Analysis J. LAZZARO, J. WAWRZYNEK [ps][pdf][djvu] VLSI Model of Primate Visual Smooth Pursuit R. ETIENNE-CUMMINGS, J. VAN DER SPIEGEL, P. MUELLER [ps][pdf][djvu] Model Matching and SFMD Computation S. REHFUSS, D. HAMMERSTROM [ps][pdf][djvu] Parallel Analog VLSI Architectures for Computation of Heading Direction and Time-to-contact G. INDIVERI, J. KRAMER, C. KOCH [ps][pdf][djvu] Onset-based Sound Segmentation L. S. SMITH [ps][pdf][djvu] Laterally Interconnected Self-organizing Maps in Handwritten Digit Recognition Y. CHOE, J. SIROSH, R. MIIKKULAINEN [ps][pdf][djvu] Forward-backward Retraining of Recurrent Neural Networks A. SENIOR, T. ROBINSON [ps][pdf][djvu] Context-dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System D. KERSHAW, T. ROBINSON, M. HOCHBERG [ps][pdf][djvu] A New Learning Algorithm for Blind Signal Separation S. AMARI, A. CICHOCKI, H. H. YANG [ps][pdf][djvu] Handwritten Word Recognition Using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models B. LEMARIE, M. GILLOUX, M. LEROUX [ps][pdf][djvu] Selective Attention for Handwritten Digit Recognition E. ALPAYDIN [ps][pdf][djvu] KODAK IMAGELINK TM OCR Alphanumeric Handprint Module A. SHUSTOROVICH, C. W. THRASHER [ps][pdf][djvu] The Gamma MLP for Speech Phoneme Recognition S. LAWRENCE, A. C. TSOI, A. D. BACK [ps][pdf][djvu] A Framework for Nonrigid Matching and Correspondence S. PAPPU, S. GOLD, A. RANGARAJAN [ps][pdf][djvu] Control of Selective Visual Attention: Modeling the E. NIEBUR, C. KOCH [ps][pdf][djvu] Unsupervised Pixel-prediction W. R. SOFTKY [ps][pdf][djvu] Learning to Predict Visibility and Invisibility from Occlusion Events J. A. MARSHALL, R. K. ALLEY, R. S. HUBBARD [ps][pdf][djvu] Classifying Facial Action M. S. BARTLETT, P. A. VIOLA, T. J. SEJNOWSKI, B. A. GOLOMB, J. LARSEN, C. HAGER, P. EKMAN [ps][pdf][djvu] Modeling Saccadic Targeting in Visual Search R. P. N. RAO, G. J. ZELINSKY, M. M. HAYHOE, D. H. BALLARD [ps][pdf][djvu] A Model of Transparent Motion and Non-transparent Motion Aftereffects A. GRUNEWALD [ps][pdf][djvu] A Neural Network Model of 3-D Lightness Perception L. PESSOA, W. D. ROSS [ps][pdf][djvu] Empirical Entropy Manipulation for Real-world Problems P. VIOLA, N. N. SCHRAUDOLPH, T. J. SEJNOWSKI [ps][pdf][djvu] Active Gesture Recognition Using Learned Visual Attention T. DARRELL, A. PENTLAND [ps][pdf][djvu] SEEMORE: A View-based Approach to 3-D Object Recognition Using Multiple Visual Cues B. W. MEL [ps][pdf][djvu] Human Face Detection in Visual Scenes H. A. ROWLEY, S. BALUJA, T. KANADE [ps][pdf][djvu] Improving Committee Diagnosis with Resampling Techniques B. PARMANTO, P. W. MUNRO, H. R. DOYLE [ps][pdf][djvu] Primitive Manipulation Learning with Connectionism Y. MATSUOKA [ps][pdf][djvu] Beating a Defender in Robotic Soccer: Memory-based Learning of a Continuous Function P. STONE, M. VELOSO [ps][pdf][djvu] Visual Gesture-based Robot Guidance with a Modular Neural System E. LITTMANN, A. DREES, H. RITTER [ps][pdf][djvu] A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network M. A. JABRI, R. J. WANG [ps][pdf][djvu] Prediction of Beta Sheets in Proteins A. KROGH, S. K. RIIS [ps][pdf][djvu] A Neural Network Autoassociator for Induction Motor Failure Prediction T. PETSCHE, A. MARCANTONIO, C. DARKEN, S. J. HANSON, G. M. KUHN, I. SANTOSO [ps][pdf][djvu] Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence S. MAKEIG, T. P. JUNG, T. J. SEJNOWSKI [ps][pdf][djvu] A Neural Network Classifier for the 11000 OCR Chip J. C. PLATT, T. P. ALLEN [ps][pdf][djvu] Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control S. P. M. CHOI, D. YEUNG [ps][pdf][djvu] Optimal Asset Allocation Using Adaptive Dynamic Programming R. NEUNEIER [ps][pdf][djvu] Using the Future to R. CARUANA, S. BALUJA, T. MITCHELL [ps][pdf][djvu] Stock Selection via Nonlinear Multi-factor Models A. U. LEVIN [ps][pdf][djvu] Experiments with Neural Networks for Real Time Implementation of Control P. CAMPBELL, M. DALE, H. L. FERRA, A. KOWALCZYK [ps][pdf][djvu] High-speed Airborne Particle Monitoring Using Artificial Neural Networks A. FERGUSON, T. SABISCH, P. KAYE, L. C. DIXON, H. BOLOURI [ps][pdf][djvu] A Dynamical Systems Approach for a Learnable Autonomous Robot J. TANI, N. FUKUMURA [ps][pdf][djvu] Parallel Optimization of Motion Controllers via Policy Iteration J. A. COELHO JR., R. SITARAMAN, R. A. GRUPEN [ps][pdf][djvu] Learning Fine Motion by Markov Mixtures of Experts M. MEILA, M. I. JORDAN [ps][pdf][djvu] Neural Control for Nonlinear Dynamic Systems S. YU, A. M. ANNASWAMY [ps][pdf][djvu] Improving Elevator Performance Using Reinforcement Learning R. H. CRITES. A. G. BARTO [ps][pdf][djvu] High-performance Job-Shop Scheduling with a Time-delay TD(λ) Network W. ZHANG, 1. G. DIETTERICH [ps][pdf][djvu] Competence Acquisition in an Autonomous Mobile Robot Using Hardware Neural Techniques G. JACKSON, A. F. MURRAY [ps][pdf][djvu] Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding R. S. SUTTON [ps][pdf][djvu] Stable Linear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions B. V. ROY, J. N. TSITSIKLIS [ps][pdf][djvu] Stable Fitted Reinforcement Learning G. J. GORDON [ps][pdf][djvu] Improving Policies without Measuring Merits P. DAYAN, S. P. SINGH [ps][pdf][djvu] Memory-based Stochastic Optimization A. W. MOORE, J. SCHNEIDER [ps][pdf][djvu] Temporal Difference in Learning in Continuous Time and Space K. DOYA [ps][pdf][djvu] Reinforcement Learning by Probability Matching P. N. SABES, M. I. JORDAN [ps][pdf][djvu] Author Index [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] |