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NIPS*1994
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| Title Pages [ps][pdf][djvu] DIRECTION SELECTIVITY IN PRIMARY VISUAL CORTEX USING MASSIVE INTRACORTICAL CONNECTIONS Humbert Suarez, Christof Koch, Rodney Douglas [ps][pdf][djvu] ON THE COMPUTATIONAL UTILITY OF CONSCIOUSNESS Donald Mathis, Michael C. Mozer [ps][pdf][djvu] CATASTROPHIC INTERFERENCE IN HUMAN MOTOR LEARNING Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov [ps][pdf][djvu] GRAMMAR LEARNING BY A SELF-ORGANIZING NETWORK Michiro Negishi [ps][pdf][djvu] PATFERNS OF DAMAGE IN NEURAL NETWORKS: THE EFFECTS OF LESION AREA, SHAPE AND NUMBER Eytan Ruppin, James A. Reggia [ps][pdf][djvu] FORWARD DYNAMIC MODELS IN HUMAN MOTOR CONTROL PSYCHOPHYSICAL EVIDENCE Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan [ps][pdf][djvu] A SOLVABLE CONNECTIONIST MODEL OF IMMEDIATE RECALL OF ORDERED LISTS Neil Burgess [ps][pdf][djvu] A MODEL FOR CHEMOSENSORY RECEPTION Rainer Malaka, Thomas Ragg, Martin Hammer [ps][pdf][djvu] THE ELECTRONIC TRANSFORMATION: A TOOL FOR RELATING NEURONAL FORM TO FUNCTION Nicholas Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown [ps][pdf][djvu] A MODEL OF THE HIPPOCAMPUS COMBINING SELF-ORGANIZATION AND ASSOCIATIVE MEMORY FUNCTION Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai [ps][pdf][djvu] MODEL OF BIOLOGICAL NEURON AS A TEMPORAL NEURAL NETWORK Sean D. Murphy, Edward W. Kairiss [ps][pdf][djvu] A CRITICAL COMPARISON OF MODELS FOR ORIENTATION AND OCULAR DOMINANCE COLUMNS IN THE STRIATE CORTEX E. Erwin, K. Obermayer, K. Schulten [ps][pdf][djvu] A NOVEL REINFORCEMENT MODEL OF BIRDSONG VOCALIZATION LEARNING Kenji Doya, Terrence J. Sejnowski [ps][pdf][djvu] OCULAR DOMINANCE AND PATTERNED LATERAL CONNECTIONS IN A SELF-ORGANIZING MODEL OF THE PRIMARY VISUAL CORTEX Joseph Sirosh, Risto Miikkulainen [ps][pdf][djvu] ANATOMICAL ORIGIN AND COMPUTATIONAL ROLE OF DIVERSITY IN THE RESPONSE PROPERTIES OF CORTICAL NEURONS Kalanit Grill Spector, Shimon Edelman, Rafael Malach [ps][pdf][djvu] REINFORCEMENT LEARNING PREDICTS THE SITE OF PLASTICITY FOR AUDITORY REMAPPING IN THE BARN OWL Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski [ps][pdf][djvu] MORPHOGENESIS OF THE LATERAL GENICULATE NUCLEUS: HOW SINGULARITIES AFFECT GLOBAL STRUCTURE Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli [ps][pdf][djvu] A COMPUTATIONAL MODEL OF PREFRONTAL CORTEX FUNCTION Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber [ps][pdf][djvu] A NEURAL MODEL OF DELUSIONS AND HALLUCINATIONS IN SCHIZOPHRENIA Eytan Ruppin, James A. Reggia, David Horn [ps][pdf][djvu] SPATIAL REPRESENTATIONS IN THE PARIETAL CORTEX MAY USE BASIS FUNCTIONS Alexandre Pouget, Terrence J. Sejnowski [ps][pdf][djvu] GROUPING COMPONENTS OF THREE-DIMENSIONAL MOVING OBJECTS IN AREA MST OF VISUAL CORTEX Richard S. Zemel, Terrence J. Sejnowski [ps][pdf][djvu] A MODEL OF THE NEURAL BASIS OF THE RAT'S SENSE OF DIRECTION William Skaggs, James J. Knierim, Hemant S. Kudrimoti, Bruce L. McNaughton [ps][pdf][djvu] ON THE COMPUTATIONAL COMPLEXITY OF NETWORKS OF SPIKING NEURONS Wolfgang Maass [ps][pdf][djvu] H∞ OPTIMAL TRAINING ALGORITHMS AND THEIR RELATION TO BACK PROPAGATION Babak Hassibi, Thomas Kailath [ps][pdf][djvu] SYNCHRONY AND DESYNCHRONY IN NEURAL OSCILLATOR NETWORKS DeLiang Wang, David Terman [ps][pdf][djvu] LEARNING IN LARGE LINEAR PERCEPTRONS AND WHY THE THERMODYNAMIC LIMIT IS RELEVANT TO THE REAL WORLD Peter Sollich [ps][pdf][djvu] GENERALISATION IN FEEDFORWARD NETWORKS Adam Kowalczyk, Herman Ferra [ps][pdf][djvu] FROM DATA DISTRIBUTIONS TO REGULARIZATION IN INVARIANT LEARNING Todd Leen [ps][pdf][djvu] NEURAL NETWORK ENSEMBLES, CROSS VALIDATION, AND ACTIVE LEARNING Anders Krogh, Jesper Vedelsby [ps][pdf][djvu] LIMITS ON LEARNING MACHINE ACCURACY IMPOSED BY DATA QUALITY Corinna Cortes, L. D. Jackel, Wan-Ping Chiang [ps][pdf][djvu] HIGHER ORDER STATISTICAL DECORRELATION WITHOUT INFORMATION LOSS Gustavo Deco, Wilfried Brauer [ps][pdf][djvu] HYPERPARAMETERS, EVIDENCE AND GENERALISATION FOR AN UNREALISABLE RULE Glenn Marion, David Saad [ps][pdf][djvu] TEMPORAL DYNAMICS OF GENERALIZATION IN NEURAL NETWORKS Changfeng Wang, Santosh S. Venkatesh [ps][pdf][djvu] STOCHASTIC DYNAMICS OF THREE-STATE NEURAL NETWORKS Toru Ohira, Jack D. Cowan [ps][pdf][djvu] LEARNING STOCHASTIC PERCEPTRONS UNDER K-BLOCKING DISTRIBUTIONS Mario Marchand, Saeed Hadjifaradji [ps][pdf][djvu] LEARNING FROM QUERIES FOR MAXIMUM INFORMATION GAIN IN IMPERFECTLY LEARNABLE PROBLEMS Peter Sollich, David Saad [ps][pdf][djvu] BIAS, VARIANCE AND THE COMBINATION OF LEAST SQUARES ESTIMATORS Ronny Meir [ps][pdf][djvu] ON-LINE LEARNING OF DICHOTOMIES N. Barkai, H. S. Seung, H. Sompolinsky [ps][pdf][djvu] DYNAMIC MODELLING OF CHAOTIC TIME SERIES WITH NEURAL NETWORKS Jose Principe, Jyh-Ming Kuo [ps][pdf][djvu] A RIGOROUS ANALYSIS OF LINSKER-TYPE HEBBIAN LEARNING Jianfeng Feng, H. Pan, V. P. Roychowdhury [ps][pdf][djvu] SAMPLE SIZE REQUIREMENTS FOR FEEDFORWARD NEURAL NETWORKS Michael Turmnon, Terrence L. Fine [ps][pdf][djvu] ASYMPTOTICS OF GRADIENT-BASED NEURAL NETWORK TRAINING ALGORITHMS Sayandev Mukherjee, Terrence L. Fine [ps][pdf][djvu] REINFORCEMENT LEARNING ALGORITHM FOR PARTIALLY OBSERVABLE MARKOV DECISION PROBLEMS Tommi Jaakkola, Satinder P. Singh, Michael I. Jordan [ps][pdf][djvu] ADVANTAGE UPDATING APPLIED TO A DIFFERENTIAL GAME Mance E. Harmon, Leemnon C. Baird Ill, A. Harry Klopf [ps][pdf][djvu] REINFORCEMENT LEARNING WITH SOFT STATE AGGREGATION Satinder Singh, Tommni Jaakkola, Michael I. Jordan [ps][pdf][djvu] GENERALIZATION IN REINFORCEMENT LEARNING: SAFELY APPROXIMATING THE VALUE FUNCTION Justin Boyan, Andrew W. Moore [ps][pdf][djvu] INSTANCE-BASED STATE IDENTIFICATION FOR REINFORCEMENT LEARNING R.Andrew McCallum [ps][pdf][djvu] FINDING STRUCTURE IN REINFORCEMENT LEARNING Sebastian Thrun, Anton Schwartz [ps][pdf][djvu] REINFORCEMENT LEARNING METHODS FOR CONTINUOUS-TIME MARKOV DECISION PROBLEMS Steven Bradtke, Michael O. Duff [ps][pdf][djvu] AN ACTOR/CRITIC ALGORITHM THAT IS EQUIVALENT TO Q-LEARNING Robert Crites, Andrew G. Barto [ps][pdf][djvu] FINANCIAL APPLICATIONS OF LEARNING FROM HINTS Yaser S. Abu-Mostafa (Invited Paper) [ps][pdf][djvu] COMBINING ESTIMATORS USING NON-CONSTANT WEIGHTING FUNCTIONS Volker Tresp, Michiaki Taniguchi [ps][pdf][djvu] AN INPUT OUTPUT HMM ARCHITECTURE Yoshua Bengio, Paolo Frasconi [ps][pdf][djvu] BOLTZMANN CHAINS AND HIDDEN MARKOV MODELS Lawrence K. Saul, Michael I. Jordan [ps][pdf][djvu] BAYESIAN QUERY CONSTRUCTION FOR NEURAL NETWORK MODELS Gerhard Paass, Jorg Kindermann [ps][pdf][djvu] USING A SALIENCY MAP FOR ACTIVE SPATIAL SELECTIVE ATTENTION: IMPLEMENTATION & INITIAL RESULTS Shumeet Baluja, Dean A. Pomerleau [ps][pdf][djvu] MULTIDIMENSIONAL SCALING AND DATA CLUSTERING Thomas Hofmann, Joachim Buhmann [ps][pdf][djvu] A NON-LINEAR INFORMATION MAXIMISATION ALGORITHM THAT PERFORMS BLIND SEPARATION Anthony J. Bell, Terrence J. Sejnowski [ps][pdf][djvu] PLASTICITY-MEDIATED COMPETITIVE LEARNING Nicol Schraudolph, Terrence J. Sejnowski [ps][pdf][djvu] PHASE-SPACE LEARNING Fu-Sheng Tsung, Garrison W. Cottrell [ps][pdf][djvu] LEARNING LOCAL ERROR BARS FOR NONLINEAR REGRESSION David A. Nix, Andreas S. Weigend [ps][pdf][djvu] DYNAMIC CELL STRUCTURES Jorg Bruske, Gerald Sommer [ps][pdf][djvu] EXTRACTING RULES FROM ARTIFICIAL NEURAL NETWORKS WITH DISTRIBUTED REPRESENTATIONS Sebastian Thrun [ps][pdf][djvu] CAPACITY AND INFORMATION EFFICIENCY OF A BRAIN-LIKE ASSOCIATIVE NET Bruce Graham, David Wilishaw [ps][pdf][djvu] BOOSTING THE PERFORMANCE OF RBF NETWORKS WITH DYNAMIC DECAY ADJUSTMENT Michael R. Berthold, Jay Diamond [ps][pdf][djvu] SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA Sepp Hochreiter, Jurgen Schmidhuber [ps][pdf][djvu] LEARNING WITH PRODUCT UNITS Laurens Leerink, C. Lee Giles, Bill G. Home, Marwan A. Jabri [ps][pdf][djvu] DETERMINISTIC ANNEALING VARIANT OF THE EM ALGORITHM Naonori Ueda, Ryohei Nakano [ps][pdf][djvu] DIFFUSION OF CREDIT IN MARKOVIAN MODELS Yoshua Bengio, Paolo Frasconi [ps][pdf][djvu] FACTORIAL LEARNING BY CLUSTERING FEATURES Joshua B. Tenenbaum, Emmanuel V. Todorov [ps][pdf][djvu] INTERIOR POINT IMPLEMENTATIONS OF ALTERNATING MINIMIZATION TRAINING Michael Lemmon, Peter T. Szymanski [ps][pdf][djvu] SARDNEI: A SELF-ORGANIZING FEATURE MAP FOR SEQUENCES Daniel L. James, Risto Miikkulainen [ps][pdf][djvu] CONVERGENCE PROPERTIES OF THE K-MEANS ALGORITHMS Leon Bottou, Yoshua Bengio [ps][pdf][djvu] ACTIVE LEARNING FOR FUNCTION APPROXIMATION Kah Kay Sung, Partha Niyogi [ps][pdf][djvu] ANALYSIS OF UNSTANDARDIZED CONTRIBUTIONS IN CROSS CONNECTED NETWORKS Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Takane [ps][pdf][djvu] TEMPLATE-BASED ALGORITHMS FOR CONNECTIONIST RULE EXTRACTION Jay A. Alexander, Michael C. Mozer [ps][pdf][djvu] FACFORIAL LEARNING AND THE EM ALGORITHM Zoubin Ghahramani [ps][pdf][djvu] A GROWING NEURAL GAS NETWORK LEARNS TOPOLOGIES Bernd Fritzke [ps][pdf][djvu] AN ALTERNATIVE MODEL FOR MIXTURES OF EXPERTS Lei Xu, Michael I. Jordan, Geoffrey E. Hinton [ps][pdf][djvu] ESTIMATING CONDITIONAL PROBABILITY DENSITIES FOR PERIODIC VARIABLES Chris M. Bishop, Claire Legleye [ps][pdf][djvu] EFFECTS OF NOISE ON CONVERGENCE AND GENERALIZATION IN RECURRENT NETWORKS Kam Jim, Bill G. Home, C. Lee Giles [ps][pdf][djvu] LEARNING MANY RELATED TASKS AT THE SAME TIME WITH BACKPROPAGATION Rich Caruana [ps][pdf][djvu] A RAPID GRAPH-BASED METHOD FOR ARBITRARY TRANSFORMATION-INVARIANT PATTERN CLASSIFICATION Alessandro Sperduti, David G. Stork [ps][pdf][djvu] RECURRENT NETWORKS: SECOND ORDER PROPERTIES AND PRUNING Morten With Pedersen, Lars Kai Hansen [ps][pdf][djvu] CLASSIFYING WITH GAUSSIAN MIXTURES AND CLUSTERS Nanda Kambhatla, Todd K. Leen [ps][pdf][djvu] EFFICIENT METHODS FOR DEALING WITH MISSING DATA IN SUPERVISED LEARNING Volker Tresp, Ralph Neuneier, Subutai Ahmad [ps][pdf][djvu] AN EXPERIMENTAL COMPARISON OF RECURRENT NEURAL NETWORKS Bill G. Home, C. Lee Giles [ps][pdf][djvu] ACTIVE LEARNING WITH STATISTICAL MODELS David Cohn, Zoubin Ghahramani, Michael I. Jordon [ps][pdf][djvu] LEARNING WITH PREKNOWLEDGE: CLUSTERING WITH POINT AND GRAPH MATCHING DISTANCE MEASURES Steven Gold, Anand Rangarajan, Eric Mjolsness [ps][pdf][djvu] DIRECT MULTI-STEP TIME SERIES PREDICTION USING TD(λ) Peter Kazlas, Andreas S. Weigend [ps][pdf][djvu] ICEG MORPHOLOGY CLASSIFICATION USING AN ANALOGUE VLSI NEURAL NETWORK Richard Coggins, Marwan Jabri, Barry Flower, Stephen Pickard [ps][pdf][djvu] A SILICON AXON Bradley A. Minch, Paul Hasler, Chris Diorio, Carver Mead [ps][pdf][djvu] THE NI1000: HIGH SPEED PARALLEL VLSI FOR IMPLEMENTING MULTILAYER PERCEPTRONS Michael P. Perrone, Leon N. Cooper [ps][pdf][djvu] A REAL TIME CLUSTERING CMOS NEURAL ENGINE T. Serrano-Gotarredona, B. Linares-Barranco, J. L. Huertas [ps][pdf][djvu] PULSESTREAM SYNAPSES WITH NON-VOLATILE ANALOGUE AMORPHOUS-SILICON MEMORIES A.J. Holmes, A. F. Murray, S. Churcher, J. Hajto, M. J. Rose [ps][pdf][djvu] A LAGRANGIAN FORMULATION FOR OPTICAL BACKPROPAGATION TRAINING IN KERR-TYPE OPTICAL NETWORKS James E. Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman [ps][pdf][djvu] A CHARGE-BASED CMOS PARALLEL ANALOG VECTOR QUANTIZER Gert Cauwenberghs, Volnei Pedroni [ps][pdf][djvu] AN AUDITORY LOCALIZATION AND COORDINATE TRANSFORM CHIP Timothy Horiuchi [ps][pdf][djvu] AN ANALOG NEURAL NETWORK INSPIRED BY FRACTAL BLOCK CODING Fernando Pineda, Andreas G. Andreou [ps][pdf][djvu] A STUDY OF PARALLEL PERTURBATIVE GRADIENT DESCENT D. Lippe, J. Aispector [ps][pdf][djvu] IMPLEMENTATION OF NEURAL HARDWARE WITH THE NEURAL VLSI OF URAN IN APPLICATIONS WITH REDUCED REPRESENTATIONS Il-Song Han, Hwang-Soo Lee, Ki-Chul Kim [ps][pdf][djvu] SINGLE TRANSISTOR LEARNING SYNAPSES Paul Hasler, Chris Diorio, Bradley A. Minch, Carver Mead [ps][pdf][djvu] PATTERN PLAYBACK IN THE '90S Malcolm Slaney (Invited Paper) [ps][pdf][djvu] NON-LINEAR PREDICTION OF ACOUSTIC VECTORS USING HIERARCHICAL MIXTURES OF EXPERTS S.R. Waterhouse, A. J. Robinson [ps][pdf][djvu] GLOVE-TALKII: MAPPING HAND GESTURES TO SPEECH USING NEURAL NETWORKS S. Sidney Fels, Geoffrey Hinton [ps][pdf][djvu] VISUAL SPEECH RECOGNITION WITH STOCHASTIC NETWORKS Javier Movellan [ps][pdf][djvu] HIERARCHICAL MIXTURES OF EXPERTS METHODOLOGY APPLIED TO CONTINUOUS SPEECH RECOGNITION Ying Zhao, Richard Schwartz, Jason Sroka, John Makhoul [ps][pdf][djvu] CONNECTIONIST SPEAKER NORMALIZATION WITH GENERALIZED RESOURCE ALLOCATING NETWORKS Cesare Furlanello, Diego Giuliani, Edmondo Trentin [ps][pdf][djvu] USING VOICE TRANSFORMATIONS TO CREATE ADDITIONAL TRAINING TALKERS FOR WORD SPOTTING Eric I. Chang, Richard P. Lippmann [ps][pdf][djvu] A COMPARISON OF DISCRETE-TIME OPERATOR MODELS FOR NONLINEAR SYSTEM IDENTIFICATION Andrew D. Back, Ah Chung Tsoi [ps][pdf][djvu] LEARNING SACCADIC EYE MOVEMENTS USING MULTISCALE SPATIAL FILTERS Rajesh P. N. Rao, Dana H Ballard [ps][pdf][djvu] A CONVOLUTIONAL NEURAL NETWORK HAND TRACKER Steven J. Nowlan, John C. Platt [ps][pdf][djvu] CORRELATION AND INTERPOLATION NETWORKS FOR REAL-TIME EXPRESSION ANALYSIS/SYNTHESIS Trevor Darrell, Irfan Essa, Alex Pentland [ps][pdf][djvu] LEARNING DIRECTION IN GLOBAL MOTION: TWO CLASSES OF PSYCHOPHYSICALLY-MOTIVATED MODELS V. Sundareswaran, Lucia M. Vaina [ps][pdf][djvu] ASSOCIATIVE DECORRELATION DYNAMICS: A THEORY OF SELF-ORGANIZATION AND OPTIMIZATION IN FEEDBACK NETWORKS Dawei W. Dong [ps][pdf][djvu] JPMAX: LEARNING TO RECOGNIZE MOVING OBJECTS AS A MODEL-FITTING PROBLEM Suzanna Becker [ps][pdf][djvu] PCA-PYRAMIDS FOR IMAGE COMPRESSION Horst Bischof, Kurt Hornik [ps][pdf][djvu] UNSUPERVISED CLASSIFICATION OF 3D OBJECTS FROM 2D VIEWS Satoshi Suzuki, Hiroshi Ando [ps][pdf][djvu] NEW ALGORITHMS FOR 2D AND 3D POINT MATCHING: POSE ESTIMATION AND CORRESPONDENCE Steven Gold, Chien Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness [ps][pdf][djvu] USING A NEURAL NET TO INSTANTIATE A DEFORMABLE MODEL Christopher K. I. Williams, Michael D. Revow, Geoffrey E. Hinton [ps][pdf][djvu] NONLINEAR IMAGE INTERPOLATION USING MANIFOLD LEARNING Christoph Bregler, Stephen M. Omohundro [ps][pdf][djvu] COARSE-TO-FINE IMAGE SEARCH USING NEURAL NETWORKS Clay D. Spence, John C. Pearson, Jim Bergen [ps][pdf][djvu] TRANSFORMATION INVARIANT AUTOASSOCIATION WITH APPLICATION TO HANDWRITTEN CHARACTER RECOGNITION Holger Schwenk, Maurice Milgram [ps][pdf][djvu] LEARNING PROTOTYPE MODELS FOR TANGENT DISTANCE Trevor Hastie, Patrice Simard, Eduard Sackinger [ps][pdf][djvu] REAL-TIME CONTROL OF TOKAMAK PLASMA USING NEURAL NETWORKS Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman, Cohn G. Windsor [ps][pdf][djvu] RECOGNIZING HANDWRITTEN DIGITS USING MIXTURES OF LINEAR MODELS Geoffrey E. Hinton, Michael Revow, Peter Dayan [ps][pdf][djvu] OPTIMAL MOVEMENT PRIMITIVES Terence Sanger [ps][pdf][djvu] AN INTEGRATED ARCHITECTURE OF ADAPTIVE NEURAL NETWORK CONTROL FOR DYNAMIC SYSTEMS Liu Ke, Robert L. Tokar, Brian D. McVey [ps][pdf][djvu] A CONNECTIONIST TECHNIQUE FOR ACCELERATED TEXTUAL INPUT: LETTING A NETWORK DO THE TYPING Dean Pomerleau [ps][pdf][djvu] PREDICTIVE CODING WITH NEURAL NETS: APPLICATION TO TEXT COMPRESSION Jurgen Schmidhuber, Stefan Heil [ps][pdf][djvu] PREDICTING THE RISK OF COMPLICATIONS IN CORONARY ARTERY BYPASS OPERATIONS USING NEURAL NETWORKS Richard P. Lippmann, Linda Kukolich, David Shahian [ps][pdf][djvu] COMPARING THE PREDICTION ACCURACY OF ARTIFICIAL NEURAL NETWORKS AND OTHER STATISTICAL MODELS FOR BREAST CANCER SURVIVAL Harry B. Burke, David B. Rosen, Philip H. Goodman [ps][pdf][djvu] LEARNING TO PLAY THE GAME OF CHESS Sebastian Thrun [ps][pdf][djvu] A MIXTURE MODEL SYSTEM FOR MEDICAL AND MACHINE DIAGNOSIS Magnus Stensmo, Terrence J. Sejnowski [ps][pdf][djvu] INFERRING GROUND TRUTH FROM SUBJECTIVE LABELLING OF VENUS IMAGES Padhraic Smyth, Usama Fayyad, Michael Burl, Pietro Perona, Pierre Baldi [ps][pdf][djvu] THE USE OF DYNAMIC WRITING INFORMATION IN A CONNECTIONIST ON-LINE CURSIVE HANDWRITING RECOGNITION SYSTEM Stefan Manke, Michael Finke, Alex Waibel [ps][pdf][djvu] ADAPTIVE ELASTIC INPUT FIELD FOR RECOGNITION IMPROVEMENT Minoru Asogawa [ps][pdf][djvu] PAIRWISE NEURAL NETWORK CLASSIFIERS WITH PROBABILISTIC OUTPUTS David Price, Stefan Knerr, Leon Personnaz, Gerard Dreyfus [ps][pdf][djvu] INTERFERENCE IN LEARNING INTERNAL MODELS OF INVERSE DYNAMICS IN HUMANS Reza Shadmehr, Tom Brashers-Krug, Ferdinando Mussa-Ivaldi [ps][pdf][djvu] COMPUTATIONAL STRUCTURE OF COORDINATE TRANSFORMATIONS: A GENERALIZATION STUDY Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan [ps][pdf][djvu] Author Index [ps][pdf][djvu] Keyword Index [ps][pdf][djvu] |