230 search results - page 35 / 46 » A probabilistic method for inferring preferences from clicks |
ROMAN
2007
IEEE
14 years 2 months ago
2007
IEEE
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
IUI
2006
ACM
14 years 1 months ago
2006
ACM
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
A dynamic model of a multiagent system defines a probability distribution over possible system behaviors over time. Alternative representations for such models present tradeoffs i...
IJCAI
2003
13 years 9 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...