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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 8 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 3 months ago
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
Dóra Erdös, Vatche Ishakian, Andrei La...
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
11 years 9 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
CVPR
2007
IEEE
14 years 9 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 1 months ago
Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies
Selecting an informative subset of SNPs, generally referred to as tag SNPs, to genotype and analyze is considered to be an essential step toward effective disease association studi...
Phil Hyoun Lee, Hagit Shatkay