1450 search results - page 92 / 290 » Complexity of Inference in Graphical Models |
NIPS
2000
13 years 11 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
EUROGRAPHICS
2010
Eurographics
14 years 7 months ago
2010
Eurographics
Raytracing metaballs is a problem that has numerous applications in the rendering of dynamic soft objects such as fluids. However, current techniques are either limited in the vi...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
JMLR
2011
13 years 5 months ago
2011
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...