Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison

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Main Author: A. Hamid, Rahayu
Format: Thesis
Published: 2005
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id my-utm-ep.34747
record_format uketd_dc
spelling my-utm-ep.347472013-10-17T01:27:59Z Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison 2005-00 A. Hamid, Rahayu Unspecified 2005-00 Thesis http://eprints.utm.my/id/eprint/34747/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
A. Hamid, Rahayu
Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
description
format Thesis
qualification_level Master's degree
author A. Hamid, Rahayu
author_facet A. Hamid, Rahayu
author_sort A. Hamid, Rahayu
title Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
title_short Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
title_full Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
title_fullStr Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
title_full_unstemmed Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
title_sort bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2005
_version_ 1747816246676553728