2681 search results - page 163 / 537 » Learning to learn with the informative vector machine |
172
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ALT
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
155
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COLT
2007
Springer
16 years 1 months ago
2007
Springer
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
227
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CIVR
2005
Springer
16 years 13 days ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
171
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
160
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ICALT
2006
IEEE
16 years 28 days ago
2006
IEEE
Observation activity, on instrumented collective learning situations, enables participants to appropriate themselves corresponding systems in their own practice. In this paper, we...