447 search results - page 71 / 90 » Explaining inferences in Bayesian networks |
144
Voted
ECML
2006
Springer
15 years 7 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...
125
Voted
AAAI
1998
15 years 4 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 ...
122
click to vote
CVPR
2003
IEEE
16 years 5 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...
140
click to vote
IAT
2008
IEEE
15 years 10 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...
116
Voted
CRV
2006
IEEE
15 years 9 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...