A Quasi-Likelihood Approach to Nonnegative Matrix Factorization.

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Bibliographic Details
Title: A Quasi-Likelihood Approach to Nonnegative Matrix Factorization.
Authors: Devarajan K; Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center, Temple University Health System, Philadelphia, PA 19111, U.S.A. karthik.devarajan@fccc.edu., Cheung VC; School of Biomedical Sciences, Chinese University of Hong Kong, Shatin, NT, Hong Kong vckc@cuhk.edu.hk.
Source: Neural computation [Neural Comput] 2016 Aug; Vol. 28 (8), pp. 1663-93. Date of Electronic Publication: 2016 Jun 27.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-888X (Electronic) Linking ISSN: 08997667 NLM ISO Abbreviation: Neural Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-888X
DOI:10.1162/NECO_a_00853