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» Parallelizing Feature Selection
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116
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ESANN
2004
15 years 4 months ago
An informational energy LVQ approach for feature ranking
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...
Razvan Andonie, Angel Cataron
99
Voted
MVA
1996
15 years 4 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
134
Voted
PPOPP
1999
ACM
15 years 7 months ago
Automatic Node Selection for High Performance Applications on Networks
A central problem in executing performance critical parallel and distributed applications on shared networks is the selection of computation nodes and communication paths for exec...
Jaspal Subhlok, Peter Lieu, Bruce Lowekamp
127
Voted
ASIAN
1998
Springer
133views Algorithms» more  ASIAN 1998»
15 years 7 months ago
Type Inference for First-Class Messages with Feature Constraints
Abstract. We present a constraint system OF of feature trees that is appropriate to specify and implement type inference for first-class messages. OF extends traditional systems of...
Martin Müller, Susumu Nishimura
149
Voted
ACRI
2006
Springer
15 years 4 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...