616 search results - page 37 / 124 » Bayesian network based sentence retrieval model |
MLMI
2004
Springer
14 years 2 months ago
2004
Springer
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
VLSID
2002
IEEE
14 years 9 months ago
2002
IEEE
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
NIPS
2004
13 years 10 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
IJCNN
2000
IEEE
14 years 1 months 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 10 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...