420 search results - page 41 / 84 » Graphical inference for infovis |
JMLR
2010
14 years 7 months ago
2010
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
119
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
110
Voted
UAI
2008
15 years 1 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
109
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SCVMA
2004
Springer
15 years 5 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
73
Voted
DIAGRAMS
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. Information graphics found in popular media contain communicative signals which help the viewer infer the graphic designer's intended message. One signal is the rela...