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INFORMATICALT
2010
169views more  INFORMATICALT 2010»
13 years 3 months ago
Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...
Inga Zutautaite-Seputiene, Juozas Augutis, Laimuti...
JMLR
2006
169views more  JMLR 2006»
13 years 4 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
JCB
2007
198views more  JCB 2007»
13 years 4 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
CVPR
2007
IEEE
13 years 11 months ago
EDA Approach for Model Based Localization and Recognition of Vehicles
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu...
CVPR
2004
IEEE
14 years 6 months 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