Machine Learning
, Volume 13
Volume 13, 1993
Ming Tan
: Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics. 7-33
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Yousri El Fattah
,
Paul O'Rorke
: Explanation-Based Learning for Diagnosis. 35-70
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Geoffrey G. Towell
,
Jude W. Shavlik
: Extracting Refined Rules from Knowledge-Based Neural Networks. 71-101
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Andrew W. Moore
,
Christopher G. Atkeson
: Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. 103-130
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Ron Kohavi
,
Scott Benson
: Research Note on Decision Lists. 131-134
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Cullen Schaffer
: Selecting a Classification Method by Cross-Validation. 135-143
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Lisa Hellerstein
: Book Review: ``Machine Learning: A Theoretical Approach''. 145-149
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B. K. Natarajan
: A Reply to Hellerstein's Book Review of Machine Learning: A Theoretical Approach. 151-152
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Kenneth A. De Jong
,
William M. Spears
,
Diana F. Gordon
: Using Genetic Algorithms for Concept Learning. 161-188
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Cezary Z. Janikow
: A Knowledge-Intensive Genetic Algorithm for Supervised Learning. 189-228
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David Perry Greene
,
Stephen F. Smith
: Competition-Based Induction of Decision Models from Examples. 229-257
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Darrell Whitley
: Genetic Reinforcement Learning for Neurocontrol Problems. 259-284
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Stephanie Forrest
,
Melanie Mitchell
: What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation. 285-319
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Copyright ©
Sun May 17 00:13:34 2009 by
Michael Ley
(
ley@uni-trier.de
)