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33

ECML
2006
Springer

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Why Is Rule Learning Optimistic and How to Correct It

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Why Is Rule Learning Optimistic and How to Correct It

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Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that appears to be best. This mechanism can easily find random patterns in the data which will

Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra

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Added	22 Aug 2010
Updated	22 Aug 2010
Type	Conference
Year	2006
Where	ECML
Authors	Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko

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