212 search results - page 33 / 43 » A Gibbs distribution that learns from GA dynamics |
EGC
2005
Springer
15 years 6 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
118
Voted
COCOON
2009
Springer
15 years 7 months ago
2009
Springer
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
ATAL
2005
Springer
15 years 6 months ago
2005
Springer
In contrast to classical game theoretic analysis of simultaneous and sequential play in bimatrix games, Steven Brams has proposed an alternative framework called the Theory of Mov...
103
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
105
Voted
CIKM
2010
Springer
14 years 11 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...