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» Robust Feature Selection Algorithms
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KSEM
2009
Springer
16 years 1 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
PR
2006
80views more  PR 2006»
15 years 6 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
TSE
2011
144views more  TSE 2011»
15 years 1 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
PSIVT
2007
Springer
126views Multimedia» more  PSIVT 2007»
16 years 18 days ago
Segmentation of Scanned Insect Footprints Using ART2 for Threshold Selection
Abstract. In a process of insect footprint recognition, footprint segments need to be extracted from scanned insect footprints in order to find out appropriate features for classi...
Bok-Suk Shin, Eui-Young Cha, Young Woon Woo, Reinh...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik