3643 search results - page 226 / 729 » Learning Submodular Functions |
177
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ECML
2007
Springer
16 years 22 days ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
159
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UIST
2005
ACM
16 years 3 days ago
2005
ACM
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
169
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JIFS
2002
15 years 6 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
182
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...
150
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...