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» Feature subset selection bias for classification learning
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CHI
2009
ACM
15 years 10 months ago
Designing interfaces for presentation of opinion diversity
News aggregators rely on links and users votes to select and present subsets of the large quantity of news and opinion items generated each day. Opinion diversity in the output se...
Sean A. Munson, Daniel Xiaodan Zhou, Paul Resnick
CEC
2009
IEEE
15 years 2 months ago
Distributed genetic algorithm using automated adaptive migration
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
Hyunjung Lee, Byonghwa Oh, Jihoon Yang, Seonho Kim
ICML
2009
IEEE
15 years 4 months ago
Non-monotonic feature selection
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, ...
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
14 years 11 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
14 years 11 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman