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Machine Learning, Volume 13

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Volume 13, 1993

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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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L. 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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