759 search results - page 4 / 152 » Structured Learning with Approximate Inference |
102
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ECCV
2010
Springer
15 years 6 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
145
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ESOP
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
107
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ICML
2007
IEEE
16 years 2 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...
104
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JMLR
2010
14 years 8 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...
125
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JMLR
2010
14 years 8 months ago
2010
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...