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» Covariance estimation in decomposable Gaussian graphical mod...
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TSP
2010
14 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
JMLR
2012
13 years 11 hour ago
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
Rahul Mazumder, Trevor Hastie
CEC
2007
IEEE
15 years 3 months ago
Covariance matrix repairing in Gaussian based EDAs
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
Weishan Dong, Xin Yao
ICPR
2010
IEEE
15 years 2 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
WCE
2007
14 years 10 months ago
Transformation Model Estimation for Point Matching Via Gaussian Processes
—One of main issues in point matching is the choice of the mapping function and the computation of its optimal hyperparameters. In this paper, we propose an attractive approach t...
Xin Yu, Jin-Wen Tian, Jian Liu