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» Inducing Probabilistic Grammars by Bayesian Model Merging
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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 26 days ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
ACL
2011
12 years 11 months ago
An Unsupervised Model for Joint Phrase Alignment and Extraction
We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is...
Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shi...
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
14 years 7 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
IBERAMIA
2010
Springer
13 years 5 months ago
A Visual Grammar for Face Detection
Several methods have been developed for face detection with certain success, however these tend to fail under difficult conditions such as partial occlusions and changes in orienta...
Augusto Meléndez, Luis Enrique Sucar, Eduar...
PR
2010
129views more  PR 2010»
13 years 5 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne