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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7069| Title: | The Informational Complexity of Learning from Examples |
| Issue Date: | 9-Oct-2013 |
| Description: | This thesis attempts to quantify the amount of information needed to learn certain tasks. The tasks chosen vary from learning functions in a Sobolev space using radial basis function networks to learning grammars in the principles and parameters framework of modern linguistic theory. These problems are analyzed from the perspective of computational learning theory and certain unifying perspectives emerge. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AITR-1587 http://hdl.handle.net/1721.1/7069 |
| Appears in Collections: | MIT Items |
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