Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge
In this paper, we consider a supervised learning setting where side knowledge is provided about the labels of unlabeled examples. The side knowledge has the effect of reducing the hypothesis space, leading to tighter generalization bounds, and thus possibly better generalization. We consider several...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science+Business Media
2016
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| Online Access: | http://hdl.handle.net/1721.1/103110 |