Presentation | 1998/7/23 NP-Completeness of Identifying Minimum OBDD for Monotone Functions Yasuhiko TAKENAGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An ordered binary decision diagram(OBDD) is a graph representation of a Boolean function. We consider minimum OBDD identification problems: given positive and negative examples of a Boolean function, identify the OBDD with minimum number of nodes(or with minimum width) that is consistant with all the examples. We prove in this paper that the problems are NP-complete even if we restrict the functions to monotone functions. The result implies that f(n)-width OBDD and f(n)-node OBDD of monotone functions are not learnable for some fixed f(n) under the PAC-learning model unless NP = RP. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ordered binary decision diagram(OBDD) / PAC learning / NP-completeness / monotone function / Boolean function |
Paper # | COMP98-29 |
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Committee | COMP |
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Conference Date | 1998/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Theoretical Foundations of Computing (COMP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | NP-Completeness of Identifying Minimum OBDD for Monotone Functions |
Sub Title (in English) | |
Keyword(1) | ordered binary decision diagram(OBDD) |
Keyword(2) | PAC learning |
Keyword(3) | NP-completeness |
Keyword(4) | monotone function |
Keyword(5) | Boolean function |
1st Author's Name | Yasuhiko TAKENAGA |
1st Author's Affiliation | Department of Computer Science and Information Mathematics, University of Electro-Communications() |
Date | 1998/7/23 |
Paper # | COMP98-29 |
Volume (vol) | vol.98 |
Number (no) | 186 |
Page | pp.pp.- |
#Pages | 8 |
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