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SASN
2006
ACM
15 years 5 months ago
Attack-resilient hierarchical data aggregation in sensor networks
In a large sensor network, in-network data aggregation, i.e., combining partial results at intermediate nodes during message routing, significantly reduces the amount of communic...
Sankardas Roy, Sanjeev Setia, Sushil Jajodia
DOLAP
2003
ACM
15 years 4 months ago
Hierarchical dwarfs for the rollup cube
The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compress...
Yannis Sismanis, Antonios Deligiannakis, Yannis Ko...
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 2 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 7 days 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
BMCBI
2006
153views more  BMCBI 2006»
14 years 11 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...