1340 search results - page 126 / 268 » Structure learning of Bayesian networks using constraints |
144
Voted
ECML
2005
Springer
15 years 9 months ago
2005
Springer
Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
135
Voted
NIPS
1997
15 years 5 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
152
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ICDIM
2008
IEEE
15 years 10 months ago
2008
IEEE
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
149
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MLMI
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
131
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...