215 search results - page 19 / 43 » Cuts in Bayesian graphical models |
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NIPS
2008
15 years 5 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...
NIPS
2000
15 years 3 days 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...
EUROGRAPHICS
2010
Eurographics
15 years 7 months ago
2010
Eurographics
We present a new intuitive UI, which we call cross-boundary brushes, for interactive mesh decomposition. The user roughly draws one or more strokes across a desired cut and our sy...
PKDD
2009
Springer
15 years 5 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
VLSID
2005
IEEE
15 years 11 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...