Minimizing Statistical Bias with Queries

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6647

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DC Field	Value	Language
dc.creator	Cohn, David A.	-
dc.date	2004-10-08T20:36:19Z	-
dc.date	2004-10-08T20:36:19Z	-
dc.date	1995-09-01	-
dc.date.accessioned	2013-10-09T02:46:21Z	-
dc.date.available	2013-10-09T02:46:21Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1552	-
dc.identifier	http://hdl.handle.net/1721.1/6647	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	I describe an exploration criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. I describe experiments with locally-weighted regression on two simple kinematics problems, and observe that this "bias-only" approach outperforms the more common "variance-only" exploration approach, even in the presence of noise.	-
dc.format	285295 bytes	-
dc.format	363027 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1552	-
dc.title	Minimizing Statistical Bias with Queries	-
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