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Trading Accuracy for Simplicity in Decision Trees

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Knowledge in context: A strategy for expert system maintenance
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Machine Learning
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LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES
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Induction of Decision Trees
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Learning Logical Definitions from Relations
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Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning
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LEARNING FLEXIBLE CONCEPTS
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An Experimental Comparison of Human and Machine Learning Formalisms
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An Empirical Comparison of Pruning Methods for Decision Tree Induction
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Non-monotonic Learning
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Classification and Regression Trees.
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Classification and Regression Trees.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Decision trees
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