220 search results - page 23 / 44 » Learning probabilistic decision graphs |
GECCO
2004
Springer
14 years 28 days ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
UAI
2008
13 years 9 months ago
2008
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
IJCAI
2003
13 years 9 months ago
2003
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...