702 search results - page 59 / 141 » Learning Probabilistic Models of Relational Structure |
160
Voted
CORR
2012
Springer
13 years 10 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
118
Voted
ICML
2000
IEEE
15 years 7 months ago
2000
IEEE
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
111
Voted
AAAI
1994
15 years 4 months ago
1994
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
116
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ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
121
Voted
SAC
2009
ACM
15 years 9 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...