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pro vyhledávání: '"Mudashiru Lateef Olumide"'
Autor:
Mukhtar Damola Salawu, Bilkisu Jimada-Ojuolape, Mudashiru Lateef Olumide, Micheal Olaolu Arowolo, S. O. Abdulsalam, Rafiu Mope Isiaka, Kazeem Alagbe Gbolagade
Support Vector Machine (SVM) is currently an efficient classification technique due to its ability to capture nonlinearities in diagnostic systems, but it does not reveal the knowledge learnt during training. It is important to understand of how a de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42aafcfe058cd496833ac6152b929ef6
https://zenodo.org/record/3981635
https://zenodo.org/record/3981635
