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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
14 years 11 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 10 months ago
Microlocal Analysis of the Geometric Separation Problem
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
David L. Donoho, Gitta Kutyniok
BMCBI
2006
150views more  BMCBI 2006»
14 years 10 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
BMCBI
2006
114views more  BMCBI 2006»
14 years 10 months ago
BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences
Background: Regulatory modules are segments of the DNA that control particular aspects of gene expression. Their identification is therefore of great importance to the field of mo...
Hailong Meng, Arunava Banerjee, Lei Zhou
BMCBI
2006
116views more  BMCBI 2006»
14 years 10 months ago
A model-based approach to selection of tag SNPs
Background: Single Nucleotide Polymorphisms (SNPs) are the most common type of polymorphisms found in the human genome. Effective genetic association studies require the identific...
Pierre Nicolas, Fengzhu Sun, Lei M. Li