702 search results - page 36 / 141 » Learning Probabilistic Models of Relational Structure |
105
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NIPS
2001
15 years 1 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
AUSAI
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
CORR
2010
Springer
15 years 17 days ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
124
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JCB
2006
15 years 13 days ago
2006
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
115
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BMCBI
2004
15 years 10 days ago
2004
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...