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» Applying Conventional Testing Techniques for Class Testing
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152
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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 4 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
125
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Hiding information inside structured shapes
This paper describes a new technique for embedding a message within structured shapes. It is desired that my changes in the shape owing to the embedded message are invisible to a ...
Samarjit Das, Shantanu Rane, Anthony Vetro
142
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BMCBI
2007
175views more  BMCBI 2007»
15 years 3 months ago
Fast automated cell phenotype image classification
Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
Nicholas A. Hamilton, Radosav S. Pantelic, Kelly H...
135
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COMPLIFE
2005
Springer
15 years 9 months ago
Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization
During the last few years new functionalities of RNA have been discovered, renewing the need for computational tools for their analysis. To this respect, multiple sequence alignmen...
Markus Bauer, Gunnar W. Klau, Knut Reinert
179
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APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 4 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov