Presentation | 2018-03-05 Analysis of Polynomial-time Learnability with Membership Queries Mikito Nanashima, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We investigate the polynomial-time learnability by using examples and membership queries. Angluin and Kharitonov proved that various concept classes (e.g., Boolean formulae, NFAs) are not polynomial-time learnable in this learning model if there exists a public-key encryption scheme that has indistinguishable encryptions against chosen message attacks. We consider as a stronger learning model a posteriori query learning model, and show it to be indeed stronger than the above learning model if a one-way function exists. Nevertheless, we prove that the Boolean formula concept class is not polynomial-time learnable either in this learning model based on even a weaker encryption scheme. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | computational learning theory / PAC learning / query learning / encryption / signature |
Paper # | COMP2017-49 |
Date of Issue | 2018-02-26 (COMP) |
Conference Information | |
Committee | COMP |
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Conference Date | 2018/3/5(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Osaka Prefecture Univ. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hiro Ito(Univ. of Electro-Comm.) |
Vice Chair | Yushi Uno(Osaka Pref. Univ.) |
Secretary | Yushi Uno(Seikei Univ.) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Theoretical Foundations of Computing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Polynomial-time Learnability with Membership Queries |
Sub Title (in English) | |
Keyword(1) | computational learning theory |
Keyword(2) | PAC learning |
Keyword(3) | query learning |
Keyword(4) | encryption |
Keyword(5) | signature |
1st Author's Name | Mikito Nanashima |
1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Inst. of Tech.) |
Date | 2018-03-05 |
Paper # | COMP2017-49 |
Volume (vol) | vol.117 |
Number (no) | COMP-474 |
Page | pp.pp.21-26(COMP), |
#Pages | 6 |
Date of Issue | 2018-02-26 (COMP) |