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Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection

contributor authorPerez, N.
contributor authorGuevara, M.A.
contributor authorSilva, A.
contributor authorRamos, I.
contributor authorLoureiro, J.
date accessioned2020-03-12T21:17:30Z
date available2020-03-12T21:17:30Z
date issued2014
identifier other6933015.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1043709?show=full
formatgeneral
languageEnglish
publisherIEEE
titleImproving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection
typeConference Paper
contenttypeMetadata Only
identifier padid8171817
subject keywordsArrays
subject keywordsDirection-of-arrival estimation
subject keywordsEstimation
subject keywordsFrequency estimation
subject keywordsJoints
subject keywordsSignal processing algorithms
subject keywordsVectors
subject keywordsarray signal processing
subject keywordsdirection of arrival
subject keywordsfrequency of arrival
identifier doi10.1109/ICALIP.2014.7009927
journal titleomputer Science and Information Systems (FedCSIS), 2014 Federated Conference on
filesize317879
citations0


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