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» Bayesian learning of measurement and structural models
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ACL
2007
13 years 10 months ago
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model
We present an unsupervised, nonparametric Bayesian approach to coreference resolution which models both global entity identity across a corpus as well as the sequential anaphoric ...
Aria Haghighi, Dan Klein
COGSCI
2008
139views more  COGSCI 2008»
13 years 9 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
JMLR
2006
169views more  JMLR 2006»
13 years 9 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ICASSP
2010
IEEE
13 years 9 months ago
Sparse signal recovery in the presence of correlated multiple measurement vectors
Sparse signal recovery algorithms utilizing multiple measurement vectors (MMVs) are known to have better performance compared to the single measurement vector case. However, curre...
Zhilin Zhang, Bhaskar D. Rao
CVPR
2003
IEEE
14 years 11 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...