465 search results - page 66 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
ICASSP
2011
IEEE
13 years 11 days ago
2011
IEEE
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Amplitude demodulation is an ill-posed problem and so it is natural to treat it from a Bayesian viewpoint, inferring the most likely carrier and envelope under probabilistic const...
FOCI
2007
IEEE
14 years 3 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...