154 search results - page 10 / 31 » Bayesian network structure learning using cooperative coevol... |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
ML
2010
ACM
13 years 6 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
UAI
2003
13 years 9 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...