DocumentCode
2149206
Title
Resource bounded measure and learnability
Author
Lindner, Wolfgang ; Schuler, Rainer ; Watanabe, Osamu
Author_Institution
Abt. Theor. Inf., Ulm Univ., Germany
fYear
1998
fDate
15-18 Jun 1998
Firstpage
261
Lastpage
270
Abstract
We consider the resource bounded measure of polynomial-time learnable subclasses of polynomial-size circuits. We show that if EXP≠MA, then every PAC-learnable subclass of P/poly has EXP-measure zero. We introduce a nonuniformly computable variant of resource bounded measure and show that, for every fixed polynomial q, any polynomial-time learnable subclass of circuits of size q has measure zero with respect to P/poly. We relate our results to the question whether Boolean Circuits are polynomial-time learnable
Keywords
Boolean algebra; computational complexity; learning (artificial intelligence); Boolean Circuits; PAC-learnable subclass; learnable subclasses; polynomial-size circuits; polynomial-time; resource bounded measure; Circuits; Computer science; Cryptography; Ear; Particle measurements; Polynomials; Q measurement; Security; Size measurement; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 1998. Proceedings. Thirteenth Annual IEEE Conference on
Conference_Location
Buffalo, NY
ISSN
1093-0159
Print_ISBN
0-8186-8395-3
Type
conf
DOI
10.1109/CCC.1998.694620
Filename
694620
Link To Document