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Infinite latent process decomposition

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タイトル: Infinite latent process decomposition
著者: Masada, Tomonari / Shibata, Yuichiro / Oguri, Kiyoshi
発行日: 2010年12月
出版者: IEEE
引用: BIBMW 2010, pp.810-811
抄録: This paper presents infinite latent process decomposition (iLPD), a new microarray analysis method, as an extension or latent process decomposition [1]. Our method assumes an infinite number of latent processes. Further, our new collapsed variational Bayesian inference improves the inference proposed in [2] in the treatment of Dirichlet hyperparameters. We also give the results of the comparison experiment.
記述: 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) : HongKong, China, 2010.12.18-2010.12.18
キーワード: Bayesian nonparametrics / Microarray data
URI: http://hdl.handle.net/10069/25178
ISBN: 978-1-4244-8303-7
DOI: 10.1109/BIBMW.2010.5703919
権利: ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
資料タイプ: Conference Paper
原稿種類: Author
出現コレクション:060 会議発表資料

引用URI : http://hdl.handle.net/10069/25178



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