81 search results - page 8 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
ICONIP
2004
14 years 11 months ago
2004
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
70
Voted
IWCM
2004
Springer
15 years 3 months ago
2004
Springer
Estimation of optical flow and physically motivated brightness changes can be formulated as parameter estimation in linear models. Accuracy of this estimation heavily depends on t...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
92
Voted
JAIR
2008
14 years 9 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
104
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CP
2004
Springer
15 years 3 months ago
2004
Springer
The contribution of this paper is in demonstrating the impact of AND/OR search spaces view on solutions counting. In contrast to the traditional (OR) search space view, the AND/OR ...