716 search results - page 81 / 144 » Optimizing Sorting with Machine Learning Algorithms |
116
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ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
101
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
125
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BMCBI
2010
15 years 2 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
124
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EUROCOLT
1999
Springer
15 years 6 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
136
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...