Learning

Reactive Behavior

Detecting and Reacting to Unplanned-for World States
Ella M. Atkins, Edmund H. Durfee, Kang G. Shin
571
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Reinforcement Learning with Time
Daishi Harada
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Formal Analyses of Learning

Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
Tom Bylander
485
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Representation, Search and Genetic Algorithms
Darrell Whitley, Soraya B. Rana
497
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Version Spaces without Boundary Sets
Haym Hirsh, Nina Mishra, Leonard Pitt
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Knowledge Discovery in Databases

Pattern Discovery in Distributed Databases
Raj Bhatnagar, Sriram Srinivasan
503
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More Efficient Windowing
Johannes Fürnkranz
509
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Learning In Linguistic Domains

Maximally Parsimonious Discrimination: A Generic Task from Linguistic Discovery
Raúl Valdes-Pérez, Vladimir Pericliev
515
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Sparse Representations for Fast, One-Shot Learning
Kenneth Yip, Gerald Jay Sussman
521
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Machine Learning (Probabilistic)

Learning Bayesian Networks from Incomplete Data
Moninder Singh
534
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Intelligent Methods for File System Optimization
Leo Kuvayev, C. L. Giles, J. Philbin, H. Cejtin
528
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Model Selection and Overfitting

An Empirical Evaluation of Bagging and Boosting
Richard Maclin, David Opitz
546
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A New Metric-Based Approach to Model Selection
Dale Schuurmans
552
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Lessons in Neural Network Training: Overfitting May be Harder than Expected
Steve Lawrence, C. Lee Giles, Ah Chung Tsoi
540
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Parallelism in Learning

Maximizing the Benefits of Parallel Search Using Machine Learning
Diane J. Cook, R. Craig Varnell
559
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Generating C4.5 Production Rules in Parallel
Richard Kufrin
565
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Text Retrieval and Learning

Transferring and Retraining Learned Information Filters
William W. Cohen, Daniel Kudenko
583
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Active Learning with Committees for Text Categorization
Ray Liere, Prasad Tadepalli
591
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