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An Accurate, Fast Embedded Feature Selection for SVMs

Author:
Hamed, Tarfa
,
Dara, Rozita
,
Kremer, Stefan C.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/I4CT.2014.6914136
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1101407
Keyword(s): Algorithm design and analysis,n Analytical models,n Correlation,n Internet,n Mathematical model,n Probability,n Quality of service,n BLUE algorithm,n Markov-modulated Bernoulli process,n congestion control,n performance evaluation
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    An Accurate, Fast Embedded Feature Selection for SVMs

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contributor authorHamed, Tarfa
contributor authorDara, Rozita
contributor authorKremer, Stefan C.
date accessioned2020-03-12T22:59:04Z
date available2020-03-12T22:59:04Z
date issued2014
identifier other7033104.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1101407?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleAn Accurate, Fast Embedded Feature Selection for SVMs
typeConference Paper
contenttypeMetadata Only
identifier padid8243734
subject keywordsAlgorithm design and analysis
subject keywordsn Analytical models
subject keywordsn Correlation
subject keywordsn Internet
subject keywordsn Mathematical model
subject keywordsn Probability
subject keywordsn Quality of service
subject keywordsn BLUE algorithm
subject keywordsn Markov-modulated Bernoulli process
subject keywordsn congestion control
subject keywordsn performance evaluation
identifier doi10.1109/I4CT.2014.6914136
journal titleachine Learning and Applications (ICMLA), 2014 13th International Conference on
filesize258858
citations0
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