3718 search results - page 310 / 744 » On learning with dissimilarity functions |
152
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ECAL
2001
Springer
15 years 11 months ago
2001
Springer
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
202
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ACCV
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...
164
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ANNS
2007
15 years 8 months ago
2007
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
137
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ESANN
2008
15 years 8 months ago
2008
In this paper we define and address the problem of safe exploration in the context of reinforcement learning. Our notion of safety is concerned with states or transitions that can ...
216
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NIPS
2004
15 years 8 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...