44 search results - page 4 / 9 » On numerical optimization theory of infinite kernel learning |
ICML
2009
IEEE
15 years 12 months ago
2009
IEEE
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
155
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ICAART
2010
INSTICC
15 years 8 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
120
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GECCO
2006
Springer
15 years 2 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
107
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PKDD
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
109
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CDC
2008
IEEE
15 years 5 months ago
2008
IEEE
Abstract. Differential repetitive processes are a distinct class of continuous-discrete twodimensional linear systems of both systems theoretic and applications interest. These pr...