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» Bayesian Parameter Estimation: A Monte Carlo Approach
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JCB
2007
144views more  JCB 2007»
13 years 7 months ago
Statistical Estimation of Statistical Mechanical Models: Helix-Coil Theory and Peptide Helicity Prediction
Analysis of biopolymer sequences and structures generally adopts one of two approaches: use of detailed biophysical theoretical models of the system with experimentally-determined...
Scott C. Schmidler, Joseph E. Lucas, Terrence G. O...
BMCBI
2006
223views more  BMCBI 2006»
13 years 7 months ago
PSMIX: an R package for population structure inference via maximum likelihood method
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Baolin Wu, Nianjun Liu, Hongyu Zhao
ICIP
2005
IEEE
14 years 9 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 7 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
PAMI
2006
215views more  PAMI 2006»
13 years 7 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...