4591 search results - page 372 / 919 » Learning from Dyadic Data |
200
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CEC
2010
IEEE
15 years 8 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
171
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
165
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ALT
2003
Springer
16 years 3 months ago
2003
Springer
A pattern is a finite string of constant and variable symbols. The erasing language generated by a pattern p is the set of all strings that can be obtained by substituting (possib...
200
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ICDM
2009
IEEE
16 years 1 months ago
2009
IEEE
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
175
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ICPR
2008
IEEE
16 years 8 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...