161 search results - page 21 / 33 » Learning Bayesian Belief Network Classifiers: Algorithms and... |
128
click to vote
ACSAC
1999
IEEE
15 years 7 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
163
Voted
SSPR
2004
Springer
15 years 8 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
126
Voted
CVPR
2000
IEEE
16 years 5 months ago
2000
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
140
click to vote
EMNLP
2009
15 years 1 months ago
2009
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
152
click to vote
JAIR
2010
15 years 1 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...