99 search results - page 1 / 20 » Possibilistic Graphical Models and Compositional Models |
IPMU
2010
Springer
13 years 2 months ago
2010
Springer
We overview three kinds of possibilistic graphical models (based on directed acyclic graphs) and present, how they can be expressed by means of non-graphical approach to multidimen...
JAIR
2007
13 years 4 months ago
2007
Numerous formalisms and dedicated algorithms have been designed in the last decades to model and solve decision making problems. Some formalisms, such as constraint networks, can ...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
EMMCVPR
2005
Springer
13 years 10 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...