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ISBI
2011
IEEE
12 years 11 months ago
Principal components regression: Multivariate, gene-based tests in imaging genomics
In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 1 months ago
A Genetic Approach to Multivariate Microaggregation for Database Privacy
Microaggregation is a technique used to protect privacy in databases and location-based services. We propose a new hybrid technique for multivariate microaggregation. Our techniqu...
Antoni Martínez-Ballesté, Agusti Sol...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
14 years 6 days ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
IV
2010
IEEE
214views Visualization» more  IV 2010»
13 years 5 months ago
The Network Lens: Interactive Exploration of Multivariate Networks Using Visual Filtering
—Networks are widely used in modeling relational data often comprised of thousands of nodes and edges. This kind of data alone implies a challenge for its visualization as it is ...
Ilir Jusufi, Yang Dingjie, Andreas Kerren