BLR-D: applying bilinear logistic regression to factored diagnosis problems

doi:10.1145/2094091.2094100

BLR-D: applying bilinear logistic regression to factored diagnosis problems

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Authors:	Sumit Basu	Microsoft Research, Redmond, WA
	John Dunagan	Microsoft, Redmond, WA
	Kevin Duh	NTT Labs, Kyoto, Japan
	Kiran-Kumar Muniswamy-Reddy	Harvard University, Cambridge, MA

	2012 Article
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	ACM SIGOPS Operating Systems Review archive
	Volume 45 Issue 3, December 2011 Pages 31-38 ACM New York, NY, USA table of contents doi>10.1145/2094091.2094100

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Tags: algorithms bilinear logistic regression bilinear models diagnosis problems experimentation factored diagnosis false discovery rate analysis learning logistic regression measurement models non-parametric statistics performance reliability

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