Advances in Neural Information Processing Systems 11: Proceedings of the 1998 ConferenceMichael S. Kearns, Sara A. Solla, David A. Cohn MIT Press, 1999 - 1090 lappuses The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented. |
Saturs
Evidence for a Forward Dynamics Model in Human Adaptive Motor Control | 3 |
From Spirals to InsideOutside Relations | 10 |
A Model for Associative Multiplication | 17 |
G Björn Christianson and Suzanna Becker | 24 |
10 | 32 |
Control Masahiko Haruno Daniel M Wolpert and Mitsuo Kawato | 38 |
Mechanisms of Generalization in Perceptual Learning | 45 |
A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes | 52 |
A Polygonal Line Algorithm for Constructing Principal Curves | 501 |
Learning a Continuous Hidden Variable Model for Binary Data | 515 |
Neural Networks for Density Estimation Malik MagdonIsmail and Amir Atiya | 522 |
Kernel PCA and DeNoising in Feature Spaces Sebastian Mika | 536 |
Replicator Equations Maximal Cliques and Graph Isomorphism | 550 |
Regularizing AdaBoost Gunnar Rätsch Takashi Onoda and KlausRobert Müller | 571 |
Semiparametric Support Vector and Linear Programming Machines | 585 |
SMEM Algorithm for Mixture Models | 599 |
Bayesian Modeling of Human Concept Learning Joshua B Tenenbaum | 59 |
Temporally Asymmetric Hebbian Learning Spike Timing and Neural Response | 69 |
Contrast Adaptation in Simple Cells by Changing the Transmitter Release | 76 |
Probability Peter Adorján and Klaus Obermayer | 83 |
Reaching Movements? Pierre Baraduc Emmanuel Guigon and Yves Burnod | 90 |
Synergy and Redundancy among Brain Cells of Behaving Monkeys | 111 |
SpikeBased Compared to RateBased Hebbian Learning | 125 |
83 | 131 |
The Role of Lateral Cortical Competition in Ocular Dominance Development | 139 |
90 | 149 |
Modeling Surround Suppression in V1 Neurons with a Statistically Derived | 153 |
The Effect of Correlations on the Fisher Information of Population Codes | 167 |
Tractable Variational Structures for Approximating Graphical Models | 183 |
Dynamics of Supervised Learning with Restricted Training Sets | 197 |
Phase Diagram and Storage Capacity of SequenceStoring Neural Networks | 211 |
Linear Hinge Loss and Average Margin | 225 |
Convergence of the WakeSleep Algorithm | 239 |
Optimizing Classifers for Imbalanced Training Sets | 253 |
Stationarity and Stability of Autoregressive Neural Network Processes | 267 |
A Precise Characterization of the Class of Languages Recognized by Neural | 281 |
On the Optimality of Incremental Neural Network Algorithms | 295 |
Mean Field Methods for Classification with Gaussian Processes | 309 |
Tight Bounds for the VCDimension of Piecewise Polynomial Networks | 323 |
Discontinuous Recall Transitions Induced by Competition Between Short | 337 |
Divisive Normalization Line Attractor Networks and Ideal Observers | 349 |
A Theory of Mean Field Approximation Toshiyuki Tanaka | 351 |
SemiSupervised Support Vector Machines Kristin Bennett and Ayhan Demiriz | 368 |
Lazy Learning Meets the Recursive Least Squares Algorithm | 375 |
Learning MultiClass Dynamics Andrew Blake Ben North and Michael Isard | 389 |
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference | 403 |
Efficient Bayesian Parameter Estimation in Large Discrete Domains | 417 |
Learning Nonlinear Dynamical Systems Using an EM Algorithm | 431 |
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage | 445 |
Source Separation as a ByProduct of Regularization | 459 |
Denoising by Nonlinear Maximum Likelihood | 473 |
Exploiting Generative Models in Discriminative Classifiers | 487 |
Discovering Hidden Features with Gaussian Processes Regression | 613 |
Basis Selection for Wavelet Regression Kevin R Wheeler and Atam P Dhawan | 627 |
Detecting Visual Contours | 641 |
Analog VLSI Cellular Implementation of the Boundary Contour System | 657 |
Active Noise Canceling Using Analog NeuroChip with OnChip Learning | 664 |
Optimizing Correlation Algorithms for HardwareBased Transient Classification | 678 |
A Neuromorphic Monaural Sound Localizer | 692 |
Computation of Smooth Optical Flow in a Feedback Connected Analog Network | 706 |
An Entropic Estimator for Structure Discovery Matthew Brand | 723 |
Controlling the Complexity of HMM Systems by Regularization | 737 |
Markov Processes on Curves for Automatic Speech Recognition | 751 |
ExampleBased Image Synthesis of Articulated Figures Trevor Darrell | 768 |
Learning to Find Pictures of People Sergey Ioffe and David Forsyth | 782 |
Model of Pop Out and Asymmetry in Visual Search Zhaoping Li | 796 |
Learning Lie Groups for Invariant Visual Perception | 810 |
Probabilistic Image Sensor Fusion | 824 |
Classification in NonMetric Spaces | 838 |
Learning from | 854 |
Vertex Identification in High Energy Physics Experiments | 868 |
Fast Neural Network Emulation of Dynamical Systems for Computer Animation | 882 |
Graph Matching for Shape Retrieval | 896 |
Bayesian Modeling of Facial Similarity | 910 |
Graphical Models for Recognizing Human Interactions | 924 |
Applications of MultiResolution Neural Networks to Mammography | 938 |
Using Collective Intelligence to Route Internet Traffic | 952 |
Gradient Descent for General Reinforcement Learning | 968 |
Optimizing Admission Control while Ensuring Quality of Service in Multimedia | 982 |
FiniteSample Convergence Rates for QLearning and Indirect Algorithms | 996 |
The Effect of Eligibility Traces on Finding Optimal Memoryless Policies | 1010 |
Barycentric Interpolators for Continuous Space and Time Reinforcement | 1024 |
Coordinate Transformation Learning of Hand Position Feedback Controller | 1038 |
Reinforcement Learning Based on OnLine EM Algorithm | 1052 |
Improved Switching among Temporally Abstract Actions | 1066 |
Experimental Results on Learning Stochastic Memoryless Policies for Partially | 1073 |
Bieži izmantoti vārdi un frāzes
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