4342 search results - page 402 / 869 » Improved Algorithms for Optimal Embeddings |
198
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EVOW
2009
Springer
16 years 2 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
175
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SIGIR
2005
ACM
16 years 1 months ago
2005
ACM
Previous research into the efficiency of text retrieval systems has dealt primarily with methods that consider inverted lists in sequence; these methods are known as term-at-a-tim...
245
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ICANN
2005
Springer
16 years 1 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
201
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ASPDAC
2008
ACM
15 years 9 months ago
2008
ACM
Power dissipation is quickly becoming one of the most important limiters in nanometer IC design for leakage increases exponentially as the technology scaling down. However, power ...
207
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CEC
2010
IEEE
15 years 7 months ago
2010
IEEE
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...