591 search results - page 26 / 119 » Learning and optimization using the clonal selection princip... |
102
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GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
101
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AAAI
2007
15 years 2 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
AIEDAM
1998
14 years 11 months ago
1998
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
ICML
2010
IEEE
15 years 26 days ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...