conf/lssc/DentPKL01:::Deborah Dent::Marcin Paprzycki::Anna Kucaba-Pietal::Ludomir Laudanski:::Studying the Performance Nonlinear Systems Solvers Applied to the Random Vibration Test.
conf/mhvr/Streitz94b:::Norbert A. Streitz:::From Individual Work and Desktop-Based Collaboration to Ubiquitous Meeting Environments.
conf/mhvr/Kommers94b:::Piet Kommers:::Hypermedia and Multimedia for Learning - Introduction.
conf/mhvr/Petrushin94:::Valery A. Petrushin:::HELENA: A Shell for Creating Educational Hypermedia Applications.
conf/mldm/KollmarH01:::D. Kollmar::D. H. Hellmann:::Feature Selection for a Real-World Learning Task.
conf/mldm/Jahn99:::Herbert Jahn:::Unsupervised Learning of Local Mean Gray Values for Image Pre-processing.
conf/mldm/KimJ03:::In-Cheol Kim::Yong-Gyu Jung:::Using Bayesian Networks to Analyze Medical Data.
conf/mldm/ImiyaO01:::Atsushi Imiya::Hisashi Ootani:::PCA-Based Model Selection and Fitting for Linear Manifolds.
conf/mldm/KingL99:::Irwin King::Tak-Kan Lau:::Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval.
conf/mldm/AizenbergAK99:::Igor N. Aizenberg::Naum N. Aizenberg::Georgy A. Krivosheev:::Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition.
conf/mldm/Krawiec01:::Krzysztof Krawiec:::On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples.
conf/mldm/Perner01:::Petra Perner:::Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
conf/mldm/DongKS03:::Jian-xiong Dong::Adam Krzyzak::Ching Y. Suen:::A Fast Parallel Optimization for Training Support Vector Machine.
conf/mlss/Mendelson02:::Shahar Mendelson:::A Few Notes on Statistical Learning Theory.
conf/nato/Ozsu93:::M. Tamer Özsu:::Transaction Models and Transaction Management in Object-Oriented Database Management Systems.
conf/nato/Buchmann93:::Alejandro P. Buchmann:::Active Object Systems.
conf/nato/Gardarin93:::Georges Gardarin:::Object-Oriented Rule Languages and Optimization Techniques.
conf/mmns/MolenkampKLB01:::Gary Molenkamp::Michael Katchabaw::Hanan Lutfiyya::Michael A. Bauer:::Distributed Resource Management to Support Distributed Application-Specific Quality of Service.
conf/mmns/AdwankarV02:::Sandeep Adwankar::Venu Vasudevan:::Agile Systems Manager for Enterprise Wireless Networks.
conf/mmns/PotonnieeHRBC97:::Olivier Potonniée::Linda Hauw::Daniel Ranc::Y. Bardout::Z. Canela:::Implementing TMN using CORBA object distribution.
conf/mmns/SousaCF03:::Pedro Sousa::Paulo Carvalho::Vasco Freitas:::Scheduling Time-Sensitive IP Traffic.
conf/mmns/GbaguidiVH97:::Constant Gbaguidi::Olivier Verscheure::Jean-Pierre Hubaux:::A new flexible and modular QoS mapping framework based on psychophysics.
conf/mmns/YounisMA03:::Mohamed F. Younis::Poonam Munshi::Ehab S. Al-Shaer:::Architecture for Efficient Monitoring and Management of Sensor Networks.
conf/mmns/DasDH02:::A. Das::D. Dutta::Ahmed Helmy:::Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques.
conf/mmns/ZhaoWHYZ01:::Li Zhao::Qi Wang::Yuwen He::Shiqiang Yang::Yuzhuo Zhong:::A Novel Content-Based Video Streaming Algorithm for Fine Granular Scalable Coding.
conf/mmns/ElardeB01:::Joseph V. Elarde::Gregory B. Brewster:::WEBARM: Mobile Code Based Agent for Web Application Response Measurement - Software Implementations and Analysis.
conf/mmns/FuenteGL97:::Luis A. de la Fuente::J. Gallego::P. Lamas:::The SESMU project: integrated customer management for multimedia service.
conf/mmns/LinsNLC03:::André Lins::Eduardo F. Nakamura::Antonio Alfredo Ferreira Loureiro::Claudionor José Nunes Coelho Jr.:::BeanWatcher: A Tool to Generate Multimedia Monitoring Applications for Wireless Sensor Networks.
conf/mmns/JagannathanA01:::Srinivasan Jagannathan::Kevin C. Almeroth:::The Dynamics of Price, Revenue, and System Utilization.
conf/mmns/KatchabawLB03:::Michael Katchabaw::Hanan Lutfiyya::Michael Bauer:::Administrative Policies to Regulate Quality of Service Management in Distributed Multimedia Applications.
conf/mmns/LelescuS01:::Dan Lelescu::Dan Schonfeld:::Video Skimming and Summarization Based on Principal Component Analysis.
conf/mmns/KarstenS97:::Martin Karsten::Ralf Steinmetz:::An approach to pricing of connectionless network services.
conf/mmns/KothariBS03:::Nupur Kothari::Vartika Bhandari::Dheeraj Sanghi:::On Reciprocal Altruism and Its Application to QoS.
conf/nddl/BezerraB01:::Ed Porto Bezerra::Edna G. de G. Brennand:::The Paulo Freire's Digital Library Project.
conf/msiw/Chin89:::Shiu-Kai Chin:::Combining Engineering Vigor with Mathematical Rigor.
conf/msiw/HannaDL89:::F. Keith Hanna::Neil Daeche::Mark Longley:::Veritas<sup>+</sup>: A Specification Language Based on Type Theory.
conf/msiw/Subrahmanyam89:::P. A. Subrahmanyam:::What's in a Timing Discipline? Considerations in the Specification and Synthesis of Systems with Interacting Asynchronous and Synchronous Components.
conf/mtdt/Prince03:::Betty Prince:::Application Specific DRAMs Today.
conf/mtdt/ZendaNF03:::Youhei Zenda::Koji Nakamae::Hiromu Fujioka:::Cost Optimum Embedded DRAM Design by Yield Analysis.
conf/nips/Vu97:::Van H. Vu:::On the Infeasibility of Training Neural Networks with Small Squared Errors.
conf/nips/DomingosH01:::Pedro Domingos::Geoff Hulten:::Learning from Infinite Data in Finite Time.
conf/nips/McCabeD95:::Susan L. McCabe::Michael J. Denham:::A Model of Auditory Streaming.
conf/nips/Wiklicky93:::Herbert Wiklicky:::On the Non-Existence of a Universal Learning Algorithm for Recurrent Neural Networks.
conf/nips/Ghiselli-CrippaM93:::Thea B. Ghiselli-Crippa::Paul W. Munro:::Emergence of Global Structure from Local Associations.
conf/nips/ArchieM00:::Kevin A. Archie::Bartlett W. Mel:::Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli.
conf/nips/KowalczykSBW95:::Adam Kowalczyk::Jacek Szymanski::Peter L. Bartlett::Robert C. Williamson:::Examples of learning curves from a modified VC-formalism.
conf/nips/Cohn96:::David A. Cohn:::Minimizing Statistical Bias with Queries.
conf/nips/MunroP96:::Paul W. Munro::Bambang Parmanto:::Competition Among Networks Improves Committee Performance.
conf/nips/FritschF96:::Jürgen Fritsch::Michael Finke:::applying Divide and Conquer to Large Scale Pattern Recognition Tasks.
conf/nips/GrangerAHL87:::Richard Granger::Jose A. Ambros-Ingerson::Howard Henry::Gary Lynch:::Partitioning of Sensory Data by a Cortical Network.
conf/nips/Baird97:::Bill Baird:::Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis.
conf/nips/DowA97:::Ernst R. Dow::Thomas J. Anastasio:::Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus.
conf/nips/SmolaFS98:::Alex J. Smola::Thilo-Thomas Frieß::Bernhard Schölkopf:::Semiparametric Support Vector and Linear Programming Machines.
conf/nips/AndersonBHJMS91:::Dana Z. Anderson::Claus Benkert::Verena Hebler::Ju-Seog Jang::Don Montgomery::Mark Saffman:::Optical Implementation of a Self-Organizing Feature Extractor.
conf/nips/MichelFP87:::Anthony N. Michel::J. A. Farrell::W. Porod:::Stability Results for Neural Networks.
conf/nips/SoftkyK89:::William R. Softky::Daniel M. Kammen:::Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment.
conf/nips/GhahramaniJ95:::Zoubin Ghahramani::Michael I. Jordan:::Factorial Hidden Markov Models.
conf/nips/SimoniCSCD00:::Mario F. Simoni::Gennady S. Cymbalyuk::Michael Q. Sorensen::Ronald L. Calabrese::Stephen P. DeWeerth:::Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron.
conf/nips/MargaritisT99:::Dimitris Margaritis::Sebastian Thrun:::Bayesian Network Induction via Local Neighborhoods.
conf/nips/HarrisC96:::John G. Harris::Yu-Ming Chiang:::An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration.
conf/nips/Murphy99:::Kevin P. Murphy:::Bayesian Map Learning in Dynamic Environments.
conf/nips/CohenR97:::Eyal Cohen::Eytan Ruppin:::On Parallel versus Serial Processing: A Computational Study of Visual Search.
conf/nips/Kryukov88:::V. I. Kryukov:::"Neurolocator", A Model of Attention.
conf/nips/Fox01:::Dieter Fox:::KLD-Sampling: Adaptive Particle Filters.
conf/nips/Fry95:::Christopher L. Fry:::How Perception Guides Production in Birdsong Learning.
conf/nips/Houk87:::James C. Houk:::Schema for Motor Control Utilizing a Network Model of the Cerebellum.
conf/nips/JiP91:::Chuanyi Ji::Demetri Psaltis:::The VC-Dimension versus the Statistical Capacity of Multilayer Networks.
conf/nips/LiD00:::Zhaoping Li::Peter Dayan:::Position Variance, Recurrence and Perceptual Learning.
conf/nips/LiW99:::Song Li::K. Y. Michael Wong:::Statistical Dynamics of Batch Learning.
conf/nips/Liu97:::Shih-Chii Liu:::Silicon Retina with Adaptive Filtering Properties.
conf/nips/WangD01:::Xin Wang::Thomas G. Dietterich:::Stabilizing Value Function Approximation with the BFBP Algorithm.
conf/nips/Orr96:::Genevieve B. Orr:::Removing Noise in On-Line Search using Adaptive Batch Sizes.
conf/nips/WuA01:::S. Wu::Shun-ichi Amari:::Neural Implementation of Bayesian Inference in Population Codes.
conf/nips/XuY92:::Lei Xu::Alan L. Yuille:::Self-Organizing Rules for Robust Principal Component Analysis.
conf/nips/dAvellaT01:::A. d'Avella::M. C. Tresch:::Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies.
conf/nips/Al-AnsariW98:::Mohammad A. Al-Ansari::Ronald J. Williams:::Robust, Efficient, Globally-Optimized Reinforcement Learning with the Parti-Game Algorithm.
conf/nips/BernanderKD93:::Öjvind Bernander::Christof Koch::Rodney J. Douglas:::Amplifying and Linearizing Apical Synaptic Inputs to Cortical Pyramidal Cells.
conf/nips/GraepelHO99:::Thore Graepel::Ralf Herbrich::Klaus Obermayer:::Bayesian Transduction.
conf/nips/MeilijsonR93:::Isaac Meilijson::Eytan Ruppin:::Optimal Signalling in Attractor Neural Networks.
conf/nips/KamC88:::Moshe Kam::Roger Cheng:::Convergence and Pattern-Stabilization in the Boltzmann Machine.
conf/nips/Rogers89:::David Rogers:::Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms.
conf/nips/Holler90:::Mark A. Holler:::VLSI Implementations of Learning and Memory Systems.
conf/nips/WeinshallEB89:::Daphna Weinshall::Shimon Edelman::Heinrich H. Bülthoff:::A Self-Organizing Multiple-View Representations of 3D Objects.
conf/nips/WaterhouseMR95:::Steve R. Waterhouse::David MacKay::Anthony J. Robinson:::Bayesian Methods for Mixtures of Experts.
conf/nips/Wolpert93:::David Wolpert:::Bayesian Backpropagation Over I-O Functions Rather Than Weights.
conf/nips/LiuK97:::Zili Liu::Daniel Kersten:::2D Observers for Human 3D Object Recognition?
conf/nips/Ratsaby97:::Joel Ratsaby:::An Incremental Nearest Neighbor Algorithm with Queries.
conf/nips/AlspectorJL91:::Joshua Alspector::Anthony Jayakumar::Stephen Luna:::Experimental Evaluation of Learning in a Neural Microsystem.
conf/nips/Loch98:::John Loch:::The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes.
conf/nips/RiesenhuberP97:::Maximilian Riesenhuber::Tomaso Poggio:::Just One View: Invariances in Inferotemporal Cell Tuning.
conf/nips/MartignonLDV96:::Laura Martignon::Kathryn B. Laskey::Gustavo Deco::Eilon Vaadia:::Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings.
conf/nips/OrrM96e:::Genevieve B. Orr::Klaus-Robert Müller:::Tricks for Time Series: Preface.
conf/nips/ChoiYZ99:::Samuel P. M. Choi::Dit-Yan Yeung::Nevin Lianwen Zhang:::An Environment Model for Nonstationary Reinforcement Learning.
conf/nips/Smolensky87:::Paul Smolensky:::Analysis of Distributed Representation of Constituent Structure in Connectionist Systems.
conf/nips/Zipser89:::David Zipser:::Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks.
conf/nips/NixW94:::David A. Nix::Andreas S. Weigend:::Learning Local Error Bars for Nonlinear Regression.
conf/nips/WangVJ93:::Changfeng Wang::Santosh S. Venkatesh::J. Stephen Judd:::Optimal Stopping and Effective Machine Complexity in Learning.
conf/nips/MontagueDS93:::P. Read Montague::Peter Dayan::Terrence J. Sejnowski:::Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
conf/nips/RosenRK93:::Daniel J. Rosen::David E. Rumelhart::Eric I. Knudsen:::A Connectionist Model of the Owl's Sound Localization System.
conf/nips/KirkpatrickGTT93:::Scott Kirkpatrick::Géza Györgyi::Naftali Tishby::Lidror Troyanksy:::The Statistical Mechanics of k-Satisfaction.
conf/nips/BernasconiG91:::Jakob Bernasconi::Karl Gustafson:::Human and Machine 'Quick Modeling'.
conf/nips/LeungZ88:::Hong C. Leung::Victor Zue:::Applications of Error Back-Propagation to Phonetic Classification.
conf/nips/CritesB95:::Robert H. Crites::Andrew G. Barto:::Improving Elevator Performance Using Reinforcement Learning.
conf/nips/MillerRRG95:::David J. Miller::Ajit V. Rao::Kenneth Rose::Allen Gersho:::An Information-theoretic Learning Algorithm for Neural Network Classification.
conf/nips/VigarioJHHO97:::Ricardo Vigário::Veikko Jousmäki::Matti Hämäläinen::Riitta Hari::Erkki Oja:::Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings.
conf/nips/IttiBLK97:::Laurent Itti::Jochen Braun::Dale K. Lee::Christof Koch:::A Model of Early Visual Processing.
conf/nips/ThrunML90:::Sebastian Thrun::Knut Möller::Alexander Linden:::Planning with an Adaptive World Model.
conf/nips/RaoS99:::Rajesh P. N. Rao::Terrence J. Sejnowski:::Predictive Sequence Learning in Recurrent Neocortical Circuits.
conf/nips/ErwinOS94:::E. Erwin::Klaus Obermayer::Klaus Schulten:::A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex.
conf/nips/HafligerMW96:::Philipp Häfliger::Misha Mahowald::Lloyd Watts:::A Spike Based Learning Neuron in Analog VLSI.
conf/nips/BuracasA93:::G. T. Buracas::T. D. Albright:::The Role of MT Neuron Receptive Field Surrounds in Computing Object Shape from Velocity Fields.
conf/nips/Sill97:::Joseph Sill:::Monotonic Networks.
conf/nips/GilesGM87:::C. Lee Giles::R. D. Griffin::T. Maxwell:::Encoding Geometric Invariances in Higher-Order Neural Networks.
conf/nips/TehW01:::Yee Whye Teh::Max Welling:::The Unified Propagation and Scaling Algorithm.
conf/nips/HildFM91:::Hermann Hild::Johannes Feulner::Wolfram Menzel:::HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach.
conf/nips/Kamimura93:::Ryotaro Kamimura:::Generation of Internal Representation by alpha.
conf/nips/Kamimura96:::Ryotaro Kamimura:::Unification of Information Maximization and Minimization.
conf/nips/Seeger01:::Matthias Seeger:::Covariance Kernels from Bayesian Generative Models.
conf/nips/Brand98:::Matthew Brand:::An Entropic Estimator for Structure Discovery.
conf/nips/HollmenT98:::Jaakko Hollmén::Volker Tresp:::Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model.
conf/nips/SpanglerGH97:::Randall R. Spangler::Rodney M. Goodman::Jim Hawkins:::Bach in a Box - Real-Time Harmony.
conf/nips/CogginsJ93:::Richard Coggins::Marwan A. Jabri:::WATTLE: A Trainable Gain Analogue VLSI Neural Network.
conf/nips/SchwartzHH88:::Daniel B. Schwartz::R. E. Howard::Wayne E. Hubbard:::Adaptive Neural Networks Using MOS Charge Storage.
conf/nips/MozerS90:::Michael Mozer::Todd Soukup:::Connectionist Music Composition Based on Melodic and Stylistic Constraints.
conf/nips/JamesH97:::Gareth James::Trevor Hastie:::The Error Coding and Substitution PaCTs.
conf/nips/RoitblatMNP90:::Herbert L. Roitblat::Patrick W. B. Moore::Paul E. Nachtigall::Ralph H. Penner:::Natural Dolphin Echo Recognition Using an Integrator Gateway Network.
conf/nips/XieS99:::Xiaohui Xie::H. Sebastian Seung:::Spike-based Learning Rules and Stabilization of Persistent Neural Activity.
conf/nips/MiltonCC92:::John G. Milton::Po Hsiang Chu::Jack D. Cowan:::Spiral Waves in Integrate-and-Fire Neural Networks.
conf/nips/BottouG90:::Léon Bottou::Patrick Gallinari:::A Framework for the Cooperation of Learning Algorithms.
conf/nips/DomeniconiG01:::Carlotta Domeniconi::Dimitrios Gunopulos:::Adaptive Nearest Neighbor Classification Using Support Vector Machines.
conf/nips/WainwrightSW00:::Martin J. Wainwright::Erik B. Sudderth::Alan S. Willsky:::Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles.
conf/nips/KambhatlaL94:::Nanda Kambhatla::Todd K. Leen:::Classifying with Gaussian Mixtures and Clusters.
conf/nips/BruskeS94:::Jörg Bruske::Gerald Sommer:::Dynamic Cell Structures.
conf/nips/CohnS96:::David A. Cohn::Satinder P. Singh:::Predicting Lifetimes in Dynamically Allocated Memory.
conf/nips/GaoBBSD01:::Y. Gao::M. J. Black::E. Bienenstock::S. Shoham::J. P. Donoghue:::Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex.
conf/nips/Tanaka98:::Toshiyuki Tanaka:::A Theory of Mean Field Approximation.
conf/nips/BraverCS94:::Todd S. Braver::Jonathan D. Cohen::David Servan-Schreiber:::A Computational Model of Prefrontal Cortex Function.
conf/nips/WadaKVK93:::Yasuhiro Wada::Yasuharu Koike::Eric Vatikiotis-Bateson::Mitsuo Kawato:::A Computational Model for Cursive Handwriting Based on the Minimization Principle.
conf/nips/FreitasNDG98:::João F. G. de Freitas::Mahesan Niranjan::Arnaud Doucet::Andrew H. Gee:::Global Optimisation of Neural Network Models via Sequential Sampling.
conf/nips/Hildebrandt93:::Thomas H. Hildebrandt:::Functional Models of Selective Attention and Context Dependency.
conf/nips/Backus01:::B. T. Backus:::Perceptual Metamers in Stereoscopic Vision.
conf/nips/Watanabe93:::Sumio Watanabe:::An Optimization Method of Layered Neural Networks based on the Modified Information Criterion.
conf/nips/Watanabe99:::Sumio Watanabe:::Algebraic Analysis for Non-regular Learning Machines.
conf/nips/McCallum94:::Andrew McCallum:::Instance-Based State Identification for Reinforcement Learning.
conf/nips/FahnerE92:::Gerald Fahner::Rolf Eckmiller:::Learning Spatio-Temporal Planning from a Dynamic Programming Teacher: Feed-Forward Neurocontrol for Moving Obstacle Avoidance.
conf/nips/SnyderNBB90:::Wesley E. Snyder::Daniel Nissman::David E. van den Bout::Griff L. Bilbro:::Kohonen Networks and Clustering.
conf/nips/AttiasPAD00:::Hagai Attias::John C. Platt::Alex Acero::Li Deng:::Speech Denoising and Dereverberation Using Probabilistic Models.
conf/nips/MoopennLTK87:::Alexander Moopenn::H. Langenbacher::A. P. Thakoor::S. K. Khanna:::Programmable Synaptic Chip for Electronic Neural Networks.
conf/nips/WolpertGJ94:::Daniel M. Wolpert::Zoubin Ghahramani::Michael I. Jordan:::Forward dynamic models in human motor control: Psychophysical evidence.
conf/nips/NeugebauerY91:::Charles F. Neugebauer::Amnon Yariv:::A Parallel Analog CCD/CMOS Signal Processor.
conf/nips/CunKS90:::Yann LeCun::Ido Kanter::Sara A. Solla:::Second Order Properties of Error Surfaces.
conf/nips/SimoncelliS98:::Eero P. Simoncelli::Odelia Schwartz:::Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model.
conf/nips/SingerT93:::Yoram Singer::Naftali Tishby:::Decoding Cursive Scripts.
conf/nips/TouretzkyE89:::David S. Touretzky::Gillette Elvgreen III:::Rule Representations in a Connectionist Chunker.
conf/nips/HyvarinenO96:::Aapo Hyvärinen::Erkki Oja:::One-unit Learning Rules for Independent Component Analysis.
conf/nips/NowlanP94:::Steven J. Nowlan::John C. Platt:::A Convolutional Neural Network Hand Tracker.
conf/nips/Eeckman87:::Frank H. Eeckman:::The Sigmoid Nonlinearity in Prepyriform Cortex.
conf/nips/SchenkelLJ97:::Markus Schenkel::Cyril Latimer::Marwan A. Jabri:::Comparison of Human and Machine Word Recognition.
conf/nips/ZhaHDGS01:::Hongyuan Zha::Xiaofeng He::Chris H. Q. Ding::Ming Gu::Horst D. Simon:::Spectral Relaxation for K-means Clustering.
conf/nips/ChechikT00:::Gal Chechik::Naftali Tishby:::Temporally Dependent Plasticity: An Information Theoretic Account.
conf/nips/HansonG90:::Stephen Jose Hanson::Mark A. Gluck:::Spherical Units as Dynamic Consequential Regions.
conf/nips/BaldiH95:::Pierre Baldi::Kurt Hornik:::Universal Approximnation and Learning of Trajectories Using Oscillators.
conf/nips/Pearlmutter91:::Barak A. Pearlmutter:::Gradient Descent: Second Order Momentum and Saturating Error.
conf/nips/OpperU01:::Manfred Opper::R. Urbanczik:::Asymptotic Universality for Learning Curves of Support Vector Machines.
conf/nips/TsitsiklisR96a:::John N. Tsitsiklis::Benjamin Van Roy:::Approximate Solutions to Optimal Stopping Problems.
conf/nips/KatayamaK90:::Masazumi Katayama::Mitsuo Kawato:::Learning Trajectory and Force Control of an Artificial Muscle Arm.
conf/nips/GuyonBV92:::Isabelle Guyon::Bernhard E. Boser::Vladimir Vapnik:::Automatic Capacity Tuning of Very Large VC-Dimension Classifiers.
conf/nips/Baluja96:::Shumeet Baluja:::Genetic Algorithms and Explicit Search Statistics.
conf/nips/Bialek00:::William Bialek:::Stability and Noise in Biochemical Switches.
conf/nips/SaulJ96:::Lawrence K. Saul::Michael I. Jordan:::A Variational Principle for Model-based Morphing.
conf/nips/DoyaS94:::Kenji Doya::Terrence J. Sejnowski:::A Novel Reinforcement Model of Birdsong Vocalization Learning.
conf/nips/Kolen93:::John F. Kolen:::Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics.
conf/nips/LeeLS98:::Te-Won Lee::Michael S. Lewicki::Terrence J. Sejnowski:::Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
conf/nips/Burgess94:::Neil Burgess:::A solvable connectionist model of immediate recall of ordered lists.
conf/nips/ChechikMR98:::Gal Chechik::Isaac Meilijson::Eytan Ruppin:::Neuronal Regulation Implements Efficient Synaptic Pruning.
conf/nips/HassibiK94:::Babak Hassibi::Thomas Kailath:::Optimal Training Algorithms and their Relation to Backpropagation.
conf/nips/Seung97:::H. Sebastian Seung:::Learning Continuous Attractors in Recurrent Networks.
conf/nips/BowerWB87:::James M. Bower::Yiu-Fai Wong::Jashojiban Banik:::Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons.
conf/nips/ShionoYNM92:::Satoru Shiono::Satoshi Yamada::Michio Nakashima::Kenji Matsumoto:::Information Theoretic Analysis of Connection Structure from Spike Trains.
conf/nips/WillettR97:::Daniel Willett::Gerhard Rigoll:::Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction.
conf/nips/Latham01:::Peter E. Latham:::Associative memory in realistic neuronal networks.
conf/nips/Lazzaro91:::John Lazzaro:::Temporal Adaptation in a Silicon Auditory Nerve.
conf/nips/Gordon95:::Geoffrey J. Gordon:::Stable Fitted Reinforcement Learning.
conf/nips/PiepenbrockO98:::Christian Piepenbrock::Klaus Obermayer:::The Role of Lateral Cortical Competition in Ocular Dominance Development.
conf/nips/WilsonH97:::Richard C. Wilson::Edwin R. Hancock:::Graph Matching with Hierarchical Discrete Relaxation.
conf/nips/PearlmutterP96:::Barak A. Pearlmutter::Lucas C. Parra:::Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA.
conf/nips/LegendreMS90:::Geraldine Legendre::Yoshiro Miyata::Paul Smolensky:::Distributed Recursive Structure Processing.
conf/nips/HampshireK91:::John B. Hampshire II::B. V. K. Vijaya Kumar:::Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers.
conf/nips/Williams97:::Peter M. Williams:::Modelling Seasonality and Trends in Daily Rainfall Data.
conf/nips/Zhang00:::Tong Zhang:::Convergence of Large Margin Separable Linear Classification.
conf/nips/MahoneyM92:::J. Jeffrey Mahoney::Raymond J. Mooney:::Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases.
conf/nips/Maass93:::Wolfgang Maass:::Agnostic PAC-Learning of Functions on Analog Neural Nets.
conf/nips/SugiyamaO99:::Masashi Sugiyama::Hidemitsu Ogawa:::Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks.
conf/nips/KeymeulenG93:::Didier Keymeulen::Martine de Gerlache:::Comparison Training for a Rescheduling Problem in Neural Networks.
conf/nips/SykacekDRZ97:::Peter Sykacek::Georg Dorffner::Peter Rappelsberger::Josef Zeitlhofer:::Experiences with Bayesian Learning in a Real World Application.
conf/nips/UedaNGH98:::Naonori Ueda::Ryohei Nakano::Zoubin Ghahramani::Geoffrey E. Hinton:::SMEM Algorithm for Mixture Models.
conf/nips/BaylissB99:::Jessica D. Bayliss::Dana H. Ballard:::Recognizing Evoked Potentials in a Virtual Environment.
conf/nips/KristjanssonF00:::Trausti T. Kristjansson::Brendan J. Frey:::Keeping Flexible Active Contours on Track using Metropolis Updates.
conf/nips/GasserL90:::Michael Gasser::Chan-Do Lee:::A Short-Term Memory Architecture for the Learning of Morphophonemic Rules.
conf/nips/MuthusamyC91:::Yeshwant K. Muthusamy::Ronald Cole:::A Segment-Based Automatic Language Identification System.
