Presentation 1995/9/22
Polynomial Time Algorithm for Testing Self-Duality and its Applications to Learning
Carlos Domingo,
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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.
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Keyword(in English) self-dual functions / decision trees / query learning
Paper # COMP95-41
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Conference Information
Committee COMP
Conference Date 1995/9/22(1days)
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Registration To Theoretical Foundations of Computing (COMP)
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