181 search results - page 32 / 37 » Learning bayesian networks consistent with the optimal branc... |
IJCAI
2007
13 years 8 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
PAMI
2007
13 years 6 months ago
2007
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...