Learning Monotone Log-Term DNF Formulas under the Uniform Distribution

被引:0
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作者
Y. Sakai
A. Maruoka
机构
[1] Department of Information and Computer Sciences,
[2] Faculty of Engineering,undefined
[3] Toyo University,undefined
[4] 2100 Kujirai,undefined
[5] Kawagoe 350-8585,undefined
[6] Japan sakai@cs.toyo.ac.jp ,undefined
[7] Graduate School of Information Sciences,undefined
[8] Tohoku University,undefined
[9] Sendai 980-8579,undefined
[10] Japan maruoka@ecei.tohoku.ac.jp,undefined
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关键词
Uniform Distribution; Normal Form; Polynomial Time; Learning Model; Disjunctive Normal Form;
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摘要
Based on the uniform distribution PAC learning model, the learnability for the class of monotone disjunctive normal form formulas with at most O (log n ) terms, denoted O (log n )-term MDNF, is investigated. Using the technique of restriction, an algorithm that learns O (log n )-term MDNF by examples in polynomial time is given.
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页码:17 / 33
页数:16
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