3668 search results - page 149 / 734 » Margin Distribution and Learning |
117
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ECAI
2006
Springer
15 years 8 months ago
2006
Springer
Scaling discrete AdaBoost to handle real-valued weak hypotheses has often been done under the auspices of convex optimization, but little is generally known from the original boost...
101
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
Bayesian model averaging, model selection and its approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other m...
148
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ICS
2010
Tsinghua U.
16 years 2 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
121
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COLT
1993
Springer
15 years 8 months ago
1993
Springer
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
146
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ECTEL
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Given the huge amount of static and dynamic content created for eLearning tasks, the major challenge for extending their use is to improve the effectiveness of retrieval ...