447 search results - page 71 / 90 » Explaining inferences in Bayesian networks |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
AAAI
1998
13 years 9 months ago
1998
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
In Proc. of IEEE Conf. on CVPR'03, Madison, Wisconsin, 2003 We propose a generative model approach to contour tracking against non-stationary clutter and to coping with occlu...
IAT
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a social and personal context modeling method on mobile device. It infers user’s contexts, such as amity with others and emotional state, from uncertain logs...
CRV
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...