Presentation | 1995/9/22 Polynomial Time Algorithm for Testing Self-Duality and its Applications to Learning Carlos Domingo, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We show that the self-duality of a formula represented by a o(logn)-depth decision tree with linear operations or by a sat-j o(logn)-DNF can be tested in polynomial time. From this result, we derive an exact learning algorithm of monotone decision trees with linear operations using membership queries. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-dual functions / decision trees / query learning |
Paper # | COMP95-41 |
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Conference Information | |
Committee | COMP |
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Conference Date | 1995/9/22(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Theoretical Foundations of Computing (COMP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Polynomial Time Algorithm for Testing Self-Duality and its Applications to Learning |
Sub Title (in English) | |
Keyword(1) | self-dual functions |
Keyword(2) | decision trees |
Keyword(3) | query learning |
1st Author's Name | Carlos Domingo |
1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
Date | 1995/9/22 |
Paper # | COMP95-41 |
Volume (vol) | vol.95 |
Number (no) | 259 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |