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Machine Learning, Volume 16

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Volume 16, Numbers 1-2, 1994

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Thomas G. Dietterich:
Editorial: New Editorial Board Members. Mach. Learn. 16(1-2): 5-6 (1994)
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Michael J. Pazzani:
Guest Editor's Introduction. 7-9
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Randolph M. Jones, Kurt VanLehn:
Acquisition of Children's Addition Strategies: A Model of Impasse-Free, Knowledge-Level Learning. 11-36
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Colleen M. Seifert, Kristian J. Hammond, Hollyn M. Johnson, Timothy M. Converse, Thomas F. McDoughal, Scott W. Vanderstoep:
Case-Based Learning: Predictive Features in Indexing. 37-56
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Thomas R. Shultz, Denis Mareschal, William C. Schmidt:
Modeling Cognitive Development on Balance Scale Phenomena. 57-86
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Rick Kazman:
Simulating the Child's Acquisition of the Lexicon and Syntax-Experiences with Babel. 87-120
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Joel D. Martin, Dorrit Billman:
Acquiring and Combining Overlapping Concepts. 121-155

Volume 16, Number 3, 1994

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Thomas R. Hancock, Mostefa Golea, Mario Marchand:
Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries. 161-183
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John N. Tsitsiklis:
Asynchronous Stochastic Approximation and Q-Learning. 185-202
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Darrell Conklin, Ian H. Witten:
Complexity-Based Induction. 203-225
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Satinder P. Singh, Richard C. Yee:
An Upper Bound on the Loss from Approximate Optimal-Value Functions. 227-233
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Steven Salzberg:
Book Review: C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993. 235-240

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