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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 6 months ago
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy
Alexander E. I. Brownlee, Martin Pelikan, John A. ...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 8 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ECCV
2010
Springer
13 years 8 months ago
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
DICTA
2009
13 years 6 months ago
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan