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SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 7 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
UAI
1996
15 years 7 months ago
Context-Specific Independence in Bayesian Networks
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Craig Boutilier, Nir Friedman, Moisés Golds...
ICDCS
2006
IEEE
16 years 11 days ago
A Hierarchical Optimization Framework for Autonomic Performance Management of Distributed Computing Systems
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Nagarajan Kandasamy, Sherif Abdelwahed, Mohit Khan...
ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
CORR
2008
Springer
121views Education» more  CORR 2008»
15 years 6 months ago
On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners
This paper examines the use of a hierarchical coevolutionary genetic algorithm under different partnering strategies. Cascading clusters of sub-populations are built from the bott...
Uwe Aickelin, Larry Bull