Applications of empirical processes in learning theory : algorithmic stability and generalization bounds
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006. === Includes bibliographical references (p. 141-148). === This thesis studies two key properties of learning algorithms: their generalization ability and their stability with respect to perturbations...
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| Format: | Others |
| Language: | English |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/34564 |