Sciweavers

2218 search results - page 311 / 444
» Bayesian Treed Models
Sort
View
125
Voted
ICIP
2010
IEEE
15 years 1 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
140
Voted
IJAR
2010
152views more  IJAR 2010»
15 years 1 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
ACL
2010
15 years 1 months ago
A Statistical Model for Lost Language Decipherment
In this paper we propose a method for the automatic decipherment of lost languages. Given a non-parallel corpus in a known related language, our model produces both alphabetic map...
Benjamin Snyder, Regina Barzilay, Kevin Knight
EMNLP
2010
15 years 1 months ago
Modeling Perspective Using Adaptor Grammars
Strong indications of perspective can often come from collocations of arbitrary length; for example, someone writing get the government out of my X is typically expressing a conse...
Eric Hardisty, Jordan L. Boyd-Graber, Philip Resni...
NPL
2000
95views more  NPL 2000»
15 years 3 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi