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» A Genetic Algorithm for the Index Selection Problem
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AI
2002
Springer
14 years 9 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
WWW
2008
ACM
15 years 10 months ago
Matching independent global constraints for composite web services
Service discovery employs matching techniques to select services by comparing their descriptions against user constraints. Semantic-based matching approaches achieve higher recall...
Nalaka Gooneratne, Zahir Tari
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
MOBIQUITOUS
2007
IEEE
15 years 3 months ago
Minimum Disruption Service Composition and Recovery over Mobile Ad Hoc Networks
— The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can minimize the effect of service disruptions. Alth...
Shanshan Jiang, Yuan Xue, Douglas C. Schmidt
CSDA
2008
128views more  CSDA 2008»
14 years 9 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan