1158 search results - page 231 / 232 » Bayesian learning of Bayesian networks with informative prio... |
IPSN
2010
Springer
13 years 11 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
NN
1998
Springer
13 years 4 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
MOBISYS
2004
ACM
14 years 4 months ago
2004
ACM
The focus of surveillance missions is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of ri...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...