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Publication search results
found 36 matches
- 1997
- Dana Angluin, Miklós Csürös:
Learning Markov Chains with Variable Memory Length from Noisy Output. COLT 1997: 298-308 - Dana Angluin, Martins Krikis:
Teachers, Learners and Black Boxes. COLT 1997: 285-297 - Kalvis Apsitis, Rusins Freivalds, Carl H. Smith:
Asymmetric Team Learning. COLT 1997: 90-95 - Andrew R. Barron:
Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). COLT 1997: 1 - Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach. COLT 1997: 314-324 - Avrim Blum, Carl Burch:
On-line Learning and the Metrical Task System Problem. COLT 1997: 45-53 - Avrim Blum, Adam Kalai:
Universal Portfolios With and Without Transaction Costs. COLT 1997: 309-313 - Tom Bylander:
Learning Probabilistically Consistent Linear Threshold Functions. COLT 1997: 62-71 - Tom Bylander:
The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. COLT 1997: 184-192 - Nicolò Cesa-Bianchi:
Analysis of Two Gradient-based Algorithms for On-line Regression. COLT 1997: 163-170 - Robert P. Daley, Bala Kalyanasundaram:
FINite Learning Capabilities and Their Limits. COLT 1997: 81-89 - Víctor Dalmau:
A Dichotomy Theorem for Learning Quantified Boolean Formulas. COLT 1997: 193-200 - Scott E. Decatur, Oded Goldreich, Dana Ron:
Computational Sample Complexity. COLT 1997: 130-142 - Funda Ergün, Ravi Kumar, Ronitt Rubinfeld:
Learning Distributions from Random Walks. COLT 1997: 243-249 - Claude-Nicolas Fiechter:
PAC Adaptive Control of Linear Systems. COLT 1997: 72-80 - William I. Gasarch, Andrew C. Y. Lee:
Inferring Answers to Queries. COLT 1997: 275-284 - Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Learning from Examples with Unspecified Attribute Values (Extended Abstract). COLT 1997: 231-242 - Sally A. Goldman, Stephen Kwek, Stephen D. Scott:
Agnostic Learning of Geometric Patterns (Extended Abstract). COLT 1997: 325-333 - Adam J. Grove, Nick Littlestone, Dale Schuurmans:
General Convergence Results for Linear Discriminant Updates. COLT 1997: 171-183 - David Haussler:
A Brief Look at Some Machine Learning Problems in Genomics. COLT 1997: 109-113 - David P. Helmbold, Sandra Panizza:
Some Label Efficient Learning Results. COLT 1997: 218-230 - Tamás Horváth, Robert H. Sloan, György Turán:
Learning Logic Programs by Using the Product Homomorphism Method. COLT 1997: 10-20 - Susanne Kaufmann, Frank Stephan:
Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line. COLT 1997: 263-274 - Michael J. Kearns, Dana Ron:
Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation. COLT 1997: 152-162 - Adam Kowalczyk:
Dense Shattering and Teaching Dimensions for Differentiable Families (Extended Abstract). COLT 1997: 143-151 - Philip M. Long:
On-line Evaluation and Prediction using Linear Functions. COLT 1997: 21-31 - Wolfgang Maass, Michael Schmitt:
On the Complexity of Learning for a Spiking Neuron (Extended Abstract). COLT 1997: 54-61 - Yishay Mansour, Mariano Schain:
Learning with Maximum-Entropy Distributions. COLT 1997: 201-210 - Ron Meir:
Performance Bounds for Nonlinear Time Series Prediction. COLT 1997: 122-129 - Nina Mishra, Leonard Pitt:
Generating all Maximal Independent Sets of Bounded-Degree Hypergraphs. COLT 1997: 211-217
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