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This article has been bookmarked 3 times, initially on 2008-07-21.
| 2008-08-25 |
User deysandeep
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| 2008-07-21 |
User mdreid
, 1 note
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Extends usual PAC analysis to an new framework involving a "compatibility function" that measures how well adapted a function is to the distribution generating the unlabelled data.
Intuitively, the smaller the compatible part of a function class is w.r.t. the unlabelled distribution the easier it is to identify a good generalisation of the labelled data.
2008-07-21 06:31:07
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Group Statistical Machine Learning
, 1 note
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Extends usual PAC analysis to an new framework involving a "compatibility function" that measures how well adapted a function is to the distribution generating the unlabelled data.
Intuitively, the smaller the compatible part of a function class is w.r.t. the unlabelled distribution the easier it is to identify a good generalisation of the labelled data.
2008-07-21 06:31:07
|
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