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Machine Learning, Volume 24, 1996

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Volume 24, Number 1, July 1996

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Hendrik Theron, Ian Cloete:
BEXA: A Covering Algorithm for Learning Propositional Concept Descriptions. 5-40
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Leo Breiman:
Technical Note: Some Properties of Splitting Criteria. 41-47
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Leo Breiman:
Stacked Regressions. 49-64
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Eyal Kushilevitz, Dan Roth:
On Learning Visual Concepts and DNF Formulae. 65-85

Volume 24, Number 2, August 1996

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Claudio Carpineto, Giovanni Romano:
A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval. 95-122
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Leo Breiman:
Bagging Predictors. 123-140
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Pedro M. Domingos:
Unifying Instance-Based and Rule-Based Induction. 141-168

Volume 24, Number 3, September 1996

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Kamal M. Ali, Michael J. Pazzani:
Error Reduction through Learning Multiple Descriptions. 173-202
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William C. Schmidt, Charles X. Ling:
A Decision-Tree Model of Balance Scale Development. 203-230
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Dimitrios Kalles, Tim Morris:
Efficient Incremental Induction of Decision Trees. 231-242

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