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» On Bayesian model and variable selection using MCMC
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CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
14 years 10 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
15 years 4 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
FMCO
2006
Springer
128views Formal Methods» more  FMCO 2006»
15 years 1 months ago
Model-Based Test Selection for Infinite-State Reactive Systems
This paper addresses the problem of off-line selection of test cases for testing the conformance of a black-box implementation with respect to a specification, in the context of re...
Bertrand Jeannet, Thierry Jéron, Vlad Rusu
PSYCHNOLOGY
2010
82views more  PSYCHNOLOGY 2010»
14 years 8 months ago
Advancing a Model of Avatar Evaluation and Selection
Viewers (N = 261) evaluated and chose avatars to represent them online. The viewers rated 92 potential avatars that were manipulated along three dimensions – sex, humanness, and...
Mark A. Hamilton, Kristine L. Nowak
CVPR
2005
IEEE
15 years 12 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah