ML Anthology
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27 papers
A Domain-Independent Algorithm for Plan Adaptation
Steve Hanks, Daniel S. Weld
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Adaptive Load Balancing: A Study in Multi-Agent Learning
Andrea Schaerf, Yoav Shoham, Moshe Tennenholtz
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An Integrated Framework for Learning and Reasoning
Christophe G. Giraud-Carrier, Tony R. Martinez
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Building and Refining Abstract Planning Cases by Change of Representation Language
Ralph Bergmann, Wolfgang Wilke
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Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
Peter D. Turney
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Decision-Theoretic Foundations for Causal Reasoning
David Heckerman, Ross D. Shachter
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Diffusion of Context and Credit Information in Markovian Models
Yoshua Bengio, Paolo Frasconi
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FLECS: Planning with a Flexible Commitment Strategy
Manuela M. Veloso, Peter Stone
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Flexibly Instructable Agents
Scott B. Huffman, John E. Laird
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Generalization of Clauses Under Implication
Peter Idestam-Almquist
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Improving Connectionist Energy Minimization
Gadi Pinkas, Rina Dechter
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Induction of First-Order Decision Lists: Results on Learning the past Tense of English Verbs
Raymond J. Mooney, Mary Elaine Califf
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Learning Membership Functions in a Function-Based Object Recognition System
Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark
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On the Informativeness of the DNA Promoter Sequences Domain Theory (Research Note)
Julio Ortega
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OPUS: An Efficient Admissible Algorithm for Unordered Search
Geoffrey I. Webb
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Pac-Learning Recursive Logic Programs: Efficient Algorithms
William W. Cohen
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Pac-Learning Recursive Logic Programs: Negative Results
William W. Cohen
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Provably Bounded-Optimal Agents
Stuart J. Russell, Devika Subramanian
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Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach
Steven K. Donoho, Larry A. Rendell
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Rule-Based Machine Learning Methods for Functional Prediction
Sholom M. Weiss, Nitin Indurkhya
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Solving Multiclass Learning Problems via Error-Correcting Output Codes
Thomas G. Dietterich, Ghulum Bakiri
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Statistical Feature Combination for the Evaluation of Game Positions
Michael Buro
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Translating Between Horn Representations and Their Characteristic Models
Roni Khardon
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Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning
Pawel Cichosz
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Using Pivot Consistency to Decompose and Solve Functional CSPs
Philippe David
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Using Qualitative Hypotheses to Identify Inaccurate Data
Qi Zhao, Toyoaki Nishida
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Vision-Based Road Detection in Automotive Systems: A Real-Time Expectation-Driven Approach
Alberto Broggi, Simona Bertè
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