1419 search results - page 38 / 284 » Approximation Methods for Supervised Learning |
114
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WWW
2007
ACM
16 years 2 months ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
112
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EPIA
2003
Springer
15 years 7 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
143
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PRL
2011
14 years 9 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
105
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SARA
2005
Springer
15 years 7 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
109
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
We propose a new method to retrieve similar face images from large face databases. The proposed method extracts a set of Haar-like features, and integrates these features with sup...