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Machine Learning, Volume 14

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Volume 14, Number 1, 1994

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Dana Angluin, Donna K. Slonim:
Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle. 7-26
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David P. Helmbold, Philip M. Long:
Tracking Drifting Concepts By Minimizing Disagreements. 27-45
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Robert E. Schapire:
Learning Probabilistic Read-once Formulas on Product Distributions. 47-81
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David Haussler, Michael J. Kearns, Robert E. Schapire:
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension. 83-113
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Andrew R. Barron:
Approximation and Estimation Bounds for Artificial Neural Networks. 115-133
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Katharina Morik, Francesco Bergadano, Wray L. Buntine:
Guest Editorial. 137-138
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Janusz Wnek, Ryszard S. Michalski:
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. 139-168
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Stefan Wrobel:
Concept Formation During Interactive Theory Revision. 169-191
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Jörg-Uwe Kietz, Katharina Morik:
A Polynomial Approach to the Constructive Induction of Structural Knowledge. 193-217
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Céline Rouveirol:
Flattening and Saturation: Two Representation Changes for Generalization. 219-232
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Jean-Francois Puget:
Explicit Representation of Concept Negation. 233-247
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Wolfgang Maass, György Turán:
Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. 251-269
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Sally A. Goldman, Robert H. Sloan:
The Power of Self-Directed Learning. 271-294
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Peter Dayan, Terrence J. Sejnowski:
TD(lambda) Converges with Probability 1. 295-301
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Derek H. Sleeman:
Introduction to the Abstracts of the Invited Talks Presented at ML92 Conference in Aberdeen, 1-3 July 1992. 303
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Ivan Bratko:
Machine Learning and Qualitative Reasoning. 305-312
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David Klahr:
Children, Adults, and Machines as Discovery Systems. 313-320
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Jude W. Shavlik:
Combining Symbolic and Neural Learning. 321-331
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Oren Etzioni, Ruth Etzioni:
Statistical Methods for Analyzing Speedup Learning Experiments. 333-347

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