77 search results - page 7 / 16 » Optimizing low-discrepancy sequences with an evolutionary al... |
ICANN
2009
Springer
15 years 7 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
106
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BMCBI
2007
15 years 19 days ago
2007
Background: To infer homology and subsequently gene function, the Smith-Waterman (SW) algorithm is used to find the optimal local alignment between two sequences. When searching s...
102
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
104
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RECOMB
2004
Springer
16 years 25 days ago
2004
Springer
In nature, one finds large collections of different protein sequences exhibiting roughly the same three-dimensional structure, and this observation underpins the study of structur...
110
Voted
GECCO
2000
Springer
15 years 4 months ago
2000
Springer
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...