| dc.creator | Caprile, Bruno | |
| dc.creator | Girosi, Federico | |
| dc.date | 2004-10-04T15:31:26Z | |
| dc.date | 2004-10-04T15:31:26Z | |
| dc.date | 1990-09-01 | |
| dc.date.accessioned | 2013-10-09T02:45:58Z | |
| dc.date.available | 2013-10-09T02:45:58Z | |
| dc.date.issued | 2013-10-09 | |
| dc.identifier | AIM-1254 | |
| dc.identifier | http://hdl.handle.net/1721.1/6560 | |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | |
| dc.description | The problem of minimizing a multivariate function is recurrent in many disciplines as Physics, Mathematics, Engeneering and, of course, Computer Science. In this paper we describe a simple nondeterministic algorithm which is based on the idea of adaptive noise, and that proved to be particularly effective in the minimization of a class of multivariate, continuous valued, smooth functions, associated with some recent extension of regularization theory by Poggio and Girosi (1990). Results obtained by using this method and a more traditional gradient descent technique are also compared. | |
| dc.format | 1240414 bytes | |
| dc.format | 492517 bytes | |
| dc.format | application/postscript | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.relation | AIM-1254 | |
| dc.title | A Nondeterministic Minimization Algorithm |
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||