702 search results - page 30 / 141 » Learning Probabilistic Models of Relational Structure |
99
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ICDAR
2009
IEEE
15 years 7 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
140
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
AAAI
2000
15 years 1 months ago
2000
In recent years, there have been several proposals that extend the expressive power of Bayesian networks with that of relational models. These languages open the possibility for t...
COGSCI
2008
15 years 17 days ago
2008
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...