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Machine Learning, Volume 26, 1997

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Volume 26, Number 1, January 1997

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Avrim Blum:
Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain. 5-23
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Nader H. Bshouty:
Exact Learning of Formulas in Parallel. 25-41
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Enrique F. Castillo, Ali S. Hadi, Cristina Solares:
Learning and Updating of Uncertainty in Dirichlet Models. 43-63
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Yang Xiang, S. K. Michael Wong, Nick Cercone:
A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks. 65-92

Volume 26, Numbers 2-3, February 1997

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Stephen H. Muggleton, David Page:
Guest Editors' Introduction. 97-98
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Luc De Raedt, Luc Dehaspe:
Clausal Discovery. 99-146
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Aram Karalic, Ivan Bratko:
First Order Regression. 147-176
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David T. Hau, Enrico W. Coiera:
Learning Qualitative Models of Dynamic Systems. 177-211
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Peter Idestam-Almquist:
Generalization of Clauses Relative to a Theory. 213-226
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Eduardo F. Morales:
PAL: A Pattern-Based First-Order Inductive System. 227-252

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