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Encouraging Experimental Results on Learning CNF

https://doi.org/10.1007/bf00994661
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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Theory and Methodology of Inductive Learning
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Symbolic and Neural Learning Algorithms: An Experimental Comparison
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The CN2 Induction Algorithm
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Learning Logical Definitions from Relations
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A Further Comparison of Splitting Rules for Decision-Tree Induction
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On the Handling of Continuous-Valued Attributes in Decision Tree Generation
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Computational limitations on learning from examples
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Synthesis of Optimal and Quasi-Optimal Variable-Valued Logic Formulas
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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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