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» Object-Oriented Bayesian Networks
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105
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FLAIRS
2006
15 years 2 months ago
Methods for Constructing Balanced Elimination Trees and Other Recursive Decompositions
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
Kevin Grant, Michael C. Horsch
108
Voted
ICONIP
2004
15 years 2 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
FLAIRS
2003
15 years 2 months ago
Automated Data Fusion and Situation Assessment in Space Systems
Spacecraft are key components of military operations and everyday life. To achieve space situation awareness, human operators must monitor large numbers of parameters. During off-...
Mark L. Hanson, Paul G. Gonsalves
UAI
2001
15 years 2 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
NIPS
2000
15 years 1 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick