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Machine Learning, Volume 17

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Volume 17, Number 1, 1994

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Haym Hirsh:
Generalizing Version Spaces. 5-46
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Raúl E. Valdés-Pérez:
Algebraic Reasoning about Reactions: Discovery of Conserved Properties in Particle Physics. 47-67
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Sridhar Mahadevan, Prasad Tadepalli:
Quantifying Prior Determination Knowledge Using the PAC Learning Model. 69-105
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Volume 17, Numbers 2-3, 1994

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Lisa Hellerstein:
Guest Editor's Introduction. 111-114
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Michael J. Kearns, Robert E. Schapire, Linda Sellie:
Toward Efficient Agnostic Learning. 115-141
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Jyh-Han Lin, Jeffrey Scott Vitter:
A Theory for Memory-Based Learning. 143-167
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William W. Cohen, Haym Hirsh:
The Learnability of Description Logics with Equality Constraints. 169-199
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Zhixiang Chen, Wolfgang Maass:
On-Line Learning of Rectangles and Unions of Rectangles. 201-223
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