1102 search results - page 79 / 221 » Bayesian Network Trust Model in Peer-to-Peer Networks |
ICCV
1998
IEEE
14 years 9 months ago
1998
IEEE
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
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 ...
IJCAI
2007
13 years 9 months ago
2007
Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and d...
IJCNN
2000
IEEE
14 years 3 days ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
NIPS
2000
13 years 9 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...