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NIPS
2000
13 years 9 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
ICCV
2007
IEEE
14 years 9 months ago
Fast Pixel/Part Selection with Sparse Eigenvectors
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
Bernard Moghaddam, Yair Weiss, Shai Avidan
VLDB
2004
ACM
144views Database» more  VLDB 2004»
14 years 1 months ago
Returning Modified Rows - SELECT Statements with Side Effects
SQL in the IBM® DB2® Universal Database™ for Linux®, UNIX®, and Windows® (DB2 UDB) database management product has been extended to support nested INSERT, UPDATE, and DELET...
Andreas Behm, Serge Rielau, Richard Swagerman
TOOLS
2000
IEEE
14 years 1 days ago
Testing-for-Trust: The Genetic Selection Model Applied to Component Qualification
This paper presents a method and a tool for building trustable OO components. The methodology is based on an integrated design and test approach for OO software components. It is ...
Benoit Baudry, Vu Le Hanh, Yves Le Traon
CSDA
2006
96views more  CSDA 2006»
13 years 7 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...