Linear Decision and Learning Models

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6161

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DC Field	Value	Language
dc.creator	Minsky, Marvin L.	-
dc.date	2004-10-04T14:43:41Z	-
dc.date	2004-10-04T14:43:41Z	-
dc.date	1968-03-01	-
dc.date.accessioned	2013-10-09T02:43:35Z	-
dc.date.available	2013-10-09T02:43:35Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-156	-
dc.identifier	http://hdl.handle.net/1721.1/6161	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This memorandum is a first draft of an essay on the simplest "learning" process. Comments are invited. Subsequent sections will treat, among other things: the "stimulus-sampling" model of Estes, relations between Perceptron-type error, reinforcement and Bayesian-type correlation reinforcement and some other statistical methods viewed in the same way.	-
dc.format	12322790 bytes	-
dc.format	621080 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-156	-
dc.title	Linear Decision and Learning Models	-
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