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Insights on prediction of patients' response to anti-HIV therapies through machine learning

Author:
Rosa, R.S. , Santos, R.H.S. , Brito, A.Y. , Guimaraes, K.S.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IWAENC.2014.6954301
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1110200
Keyword(s): Acoustics,Covariance matrices,Microphones,Minimization,Source separation,Speech,Time-frequency analysis,Prior information,audio source separation,coefficient matrix domain,nonnegative matrix factorization
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    Insights on prediction of patients' response to anti-HIV therapies through machine learning

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date accessioned2020-03-12T23:24:08Z
date available2020-03-12T23:24:08Z
date issued2014
identifier other6889659.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1110200
formatgeneral
languageEnglish
publisherIEEE
titleInsights on prediction of patients' response to anti-HIV therapies through machine learning
typeConference Paper
contenttypeMetadata Only
identifier padid8278886
subject keywordsAcoustics
subject keywordsCovariance matrices
subject keywordsMicrophones
subject keywordsMinimization
subject keywordsSource separation
subject keywordsSpeech
subject keywordsTime-frequency analysis
subject keywordsPrior information
subject keywordsaudio source separation
subject keywordscoefficient matrix domain
subject keywordsnonnegative matrix factorization
identifier doi10.1109/IWAENC.2014.6954301
journal titleeural Networks (IJCNN), 2014 International Joint Conference on
filesize863136
citations0
contributor rawauthorRosa, R.S. , Santos, R.H.S. , Brito, A.Y. , Guimaraes, K.S.
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