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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
Subjects:
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Online Access:http://eprints.utm.my/id/eprint/34747/
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spelling my.utm.347472013-10-17T01:27:59Z http://eprints.utm.my/id/eprint/34747/ Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison A. Hamid, Rahayu Unspecified 2005 Thesis NonPeerReviewed A. Hamid, Rahayu (2005) Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Unspecified
spellingShingle Unspecified
A. Hamid, Rahayu
Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison
format Thesis
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
publishDate 2005
url http://eprints.utm.my/id/eprint/34747/
_version_ 1643649662974951424
score 13.211869

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