1771 search results - page 9 / 355 » Bayesian Network Based XP Process Modelling |
ICASSP
2011
IEEE
13 years 15 days ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
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...
DKE
2008
13 years 8 months ago
2008
Knowledge validation, as part of knowledge base verification and validation is a critical process in knowledge engineering. The ultimate goal of this process is to make the knowle...
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...