Learning Monotone Log-Term DNF Formulas under the Uniform Distribution

被引：0

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

来源：

Theory of Computing Systems | 2000年 / 33卷

关键词：

Uniform Distribution; Normal Form; Polynomial Time; Learning Model; Disjunctive Normal Form;

D O I：

暂无

中图分类号：

学科分类号：

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.

引用

页码：17 / 33

页数：16

共 28 条

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Sakai, Y
Maruoka, A
THEORY OF COMPUTING SYSTEMS, 2000, 33 (01) : 17 - 33
[2] ON LEARNING MONOTONE DNF FORMULAS UNDER UNIFORM DISTRIBUTIONS
KUCERA, L
MARCHETTISPACCAMELA, A
PROTASI, M
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Servedio, RA
APPROXIMATION, RANDOMIZATION AND COMBINATORIAL OPTIMIZATION: ALGORITHMS AND TECHNIQUES, 2005, 3624 : 342 - 353
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MANSOUR, Y
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 1995, 50 (03) : 543 - 550
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Verbeurgt, KA
ALGORITHMIC LEARNING THEORY, 1998, 1501 : 385 - 399
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Servedio, RA
COMPUTATIONAL LEARNING THEORY, PROCEEDINGS, 2001, 2111 : 558 - 573
[7] On learning monotone DNF under product distributions
Servedio, RA
INFORMATION AND COMPUTATION, 2004, 193 (01) : 57 - 74
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Lindner, W
ALGORITHMIC LEARNING THEORY, 2005, 3734 : 198 - 210
[9] Learning nearly monotone k-term DNF
Castro, J
Guijarro, D
Lavin, V
INFORMATION PROCESSING LETTERS, 1998, 67 (02) : 75 - 79
[10] On learning monotone Boolean functions under the uniform distribution
Amano, K
Maruoka, A
ALGORITHMIC LEARNING THEORY, PROCEEDINGS, 2002, 2533 : 57 - 68

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