702 search results - page 14 / 141 » Learning Probabilistic Models of Relational Structure |
119
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NIPS
1998
15 years 1 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
106
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AAAI
2010
15 years 1 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
107
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ACL
2003
15 years 1 months ago
2003
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
93
Voted
NIPS
2003
15 years 1 months ago
2003
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
114
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...