Linear Decision and Learning Models
| dc.date.accessioned | 2004-10-04T14:43:41Z | |
| dc.date.accessioned | 2018-11-24T10:12:11Z | |
| dc.date.available | 2004-10-04T14:43:41Z | |
| dc.date.available | 2018-11-24T10:12:11Z | |
| dc.date.issued | 1968-03-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/6161 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6161 | |
| dc.description.abstract | 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. | en_US |
| dc.format.extent | 12322790 bytes | |
| dc.format.extent | 621080 bytes | |
| dc.language.iso | en_US | |
| dc.title | Linear Decision and Learning Models | en_US |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
| AIM-156.pdf | 621.0Kb | application/pdf | View/ |
| AIM-156.ps | 12.32Mb | application/postscript | View/ |