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» Genetic drift in univariate marginal distribution algorithm
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GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
13 years 11 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
COLT
2010
Springer
13 years 3 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
BMCBI
2004
146views more  BMCBI 2004»
13 years 5 months ago
Multivariate search for differentially expressed gene combinations
Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
Yuanhui Xiao, Robert D. Frisina, Alexander Gordon,...
BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 10 days ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
GPEM
2008
98views more  GPEM 2008»
13 years 5 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg