509 search results - page 7 / 102 » Dynamic Modeling in Inductive Inference |
AAAI
2006
13 years 9 months ago
2006
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
TSP
2011
13 years 2 months ago
2011
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
ICSE
2010
IEEE-ACM
14 years 19 days ago
2010
IEEE-ACM
Software behavioral models have proven useful for design, validation, verification, and maintenance. However, existing approaches for deriving such models sometimes overgeneraliz...
BMCBI
2010
13 years 8 months ago
2010
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...