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» Learning and Inference with Constraints
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UAI
2003
13 years 11 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
JMLR
2010
143views more  JMLR 2010»
13 years 5 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ACL
2012
12 years 20 days ago
Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...
Mark Johnson, Katherine Demuth, Michael C. Frank
SEMWEB
2009
Springer
14 years 4 months ago
Towards Integrity Constraints in OWL
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. Howeve...
Evren Sirin, Jiao Tao
AAAI
2010
13 years 11 months ago
Integrity Constraints in OWL
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. However...
Jiao Tao, Evren Sirin, Jie Bao, Deborah L. McGuinn...