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Infinite latent process decomposition

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Title: Infinite latent process decomposition
Authors: Masada, Tomonari / Shibata, Yuichiro / Oguri, Kiyoshi
Issue Date: Dec-2010
Publisher: IEEE
Citation: BIBMW 2010, pp.810-811
Abstract: 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.
Description: 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) : HongKong, China, 2010.12.18-2010.12.18
Keywords: Bayesian nonparametrics / Microarray data
URI: http://hdl.handle.net/10069/25178
ISBN: 978-1-4244-8303-7
DOI: 10.1109/BIBMW.2010.5703919
Rights: ©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.
Type: Conference Paper
Text Version: Author
Appears in Collections:Conference Paper

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

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