232 search results - page 24 / 47 » Learning relational dependency networks in hybrid domains |
NIPS
2008
14 years 7 days ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
FLAIRS
2007
14 years 1 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
IPPS
2007
IEEE
14 years 5 months ago
2007
IEEE
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
HYBRID
2010
Springer
14 years 3 months ago
2010
Springer
NetSketch is a tool for the specification of constrained-flow applications and the certification of desirable safety properties imposed thereon. NetSketch assists system integr...