1157 search results - page 39 / 232 » Solving iterated functions using genetic programming |
198
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Book
"GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas...
124
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
147
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ML
2002
ACM
15 years 3 months ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
110
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BMCBI
2008
15 years 3 months ago
2008
Background: Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated w...
133
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...