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» Bayesian Parameter Estimation: A Monte Carlo Approach
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87
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BMCBI
2010
176views more  BMCBI 2010»
14 years 10 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
83
Voted
ICCAD
2006
IEEE
183views Hardware» more  ICCAD 2006»
15 years 7 months ago
Soft error derating computation in sequential circuits
Soft error tolerant design becomes more crucial due to exponential increase in the vulnerability of computer systems to soft errors. Accurate estimation of soft error rate (SER), ...
Hossein Asadi, Mehdi Baradaran Tahoori
ICML
2005
IEEE
15 years 11 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
86
Voted
MICAI
2004
Springer
15 years 3 months ago
Simple Feasibility Rules and Differential Evolution for Constrained Optimization
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
Efrén Mezura-Montes, Carlos A. Coello Coell...
CVPR
2004
IEEE
16 years 7 days ago
Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
Andrew R. Willis, David B. Cooper