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[Copyright notice]

Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ITA.2014.6804263
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1057936
Keyword(s): Boolean functions,n approximation theory,n learning (artificial intelligence),n probability,n Boolean function,n Friedgut',s theorem,n PAC learning algorithm,n PMAC learning model,n PMAC model,n XOS function,n constant approximation factor,n exponential improvement,n juntas,n learning algorithms,n linear functions,n multiplicative factor approximation,n optimal bounds,n probability,n real-valued analogue,n real-valued function,n sub
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date accessioned2020-03-12T21:43:00Z
date available2020-03-12T21:43:00Z
date issued2014
identifier other6955291.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1057936?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
title[Copyright notice]
typeConference Paper
contenttypeMetadata Only
identifier padid8189230
subject keywordsBoolean functions
subject keywordsn approximation theory
subject keywordsn learning (artificial intelligence)
subject keywordsn probability
subject keywordsn Boolean function
subject keywordsn Friedgut'
subject keywordss theorem
subject keywordsn PAC learning algorithm
subject keywordsn PMAC learning model
subject keywordsn PMAC model
subject keywordsn XOS function
subject keywordsn constant approximation factor
subject keywordsn exponential improvement
subject keywordsn juntas
subject keywordsn learning algorithms
subject keywordsn linear functions
subject keywordsn multiplicative factor approximation
subject keywordsn optimal bounds
subject keywordsn probability
subject keywordsn real-valued analogue
subject keywordsn real-valued function
subject keywordsn sub
identifier doi10.1109/ITA.2014.6804263
journal titleoEduNet Conference 13th Edition: Networking in Education and Research Joint Event RENAM 8th Conferen
filesize64133
citations0
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