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» Learning and Inference with Constraints
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IJCAI
2003
15 years 8 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
COLING
2002
15 years 6 months ago
Learning Question Classifiers
In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question to a level that allows determining some of th...
Xin Li, Dan Roth
ETAI
2000
84views more  ETAI 2000»
15 years 6 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
ICASSP
2011
IEEE
14 years 10 months ago
Low-rank matrix completion by variational sparse Bayesian learning
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
S. Derin Babacan, Martin Luessi, Rafael Molina, Ag...
ACL
2009
15 years 4 months ago
A Syntax-Driven Bracketing Model for Phrase-Based Translation
Syntactic analysis influences the way in which the source sentence is translated. Previous efforts add syntactic constraints to phrase-based translation by directly rewarding/puni...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li