1106 search results - page 156 / 222 » On regularization algorithms in learning theory |
136
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
161
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IJCAI
2007
15 years 5 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
142
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BMCBI
2010
15 years 4 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
134
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TON
2008
15 years 4 months ago
2008
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
136
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IMC
2007
ACM
15 years 6 months ago
2007
ACM
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...