702 search results - page 12 / 141 » Learning Probabilistic Models of Relational Structure |
95
Voted
COLING
2008
15 years 1 months ago
2008
We propose a new integrated approach based on Markov logic networks (MLNs), an effective combination of probabilistic graphical models and firstorder logic for statistical relatio...
107
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
119
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TCSV
2008
15 years 9 days ago
2008
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
125
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AAAI
2008
15 years 2 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
113
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IJAR
2010
14 years 11 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...