1658 search results - page 53 / 332 » Learning Unknown Graphs |
119
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NIPS
2000
15 years 4 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
127
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EMNLP
2009
15 years 25 days ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
123
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
COLT
1991
Springer
15 years 6 months ago
1991
Springer
Two extensions of the Linial, Mansour, Nisan AC0 learning algorithm are presented. The LMN method works when input examples are drawn uniformly. The new algorithmsimprove on their...
133
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...