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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 6 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
VLDB
2002
ACM
157views Database» more  VLDB 2002»
16 years 6 months ago
A formal perspective on the view selection problem
The view selection problem is to choose a set of views to materialize over a database schema, such that the cost of evaluating a set of workload queries is minimized and such that ...
Rada Chirkova, Alon Y. Halevy, Dan Suciu
SISAP
2008
IEEE
115views Data Mining» more  SISAP 2008»
16 years 25 days ago
A Dynamic Pivot Selection Technique for Similarity Search
All pivot-based algorithms for similarity search use a set of reference points called pivots. The pivot-based search algorithm precomputes some distances to these reference points...
Benjamin Bustos, Oscar Pedreira, Nieves R. Brisabo...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 19 days ago
Using group selection to evolve leadership in populations of self-replicating digital organisms
This paper describes a study in the evolution of distributed cooperative behavior, specifically leader election, through digital evolution and group selection. In digital evoluti...
David B. Knoester, Philip K. McKinley, Charles Ofr...
IWANN
2009
Springer
16 years 1 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...