163 search results - page 15 / 33 » Neural networks organizations to learn complex robotic funct... |
COLT
2001
Springer
15 years 4 months ago
2001
Springer
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
101
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BMCBI
2010
14 years 11 months ago
2010
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
104
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ICES
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
125
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GECCO
1999
Springer
15 years 4 months ago
1999
Springer
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...