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» Approaching Optimality for Solving SDD Linear Systems
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 8 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
141
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BMCBI
2008
170views more  BMCBI 2008»
15 years 4 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
170
Voted
LOGCOM
2011
14 years 7 months ago
Introducing Preferences in Planning as Satisfiability
Planning as Satisfiability is one of the most well-known and effective techniques for classical planning: satplan has been the winning system in the deterministic track for optim...
Enrico Giunchiglia, Marco Maratea
139
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ICDM
2002
IEEE
118views Data Mining» more  ICDM 2002»
15 years 9 months ago
Mining Surveillance Video for Independent Motion Detection
This paper addresses the special applications of data mining techniques in homeland defense. The problem targeted, which is frequently encountered in military/intelligence surveil...
Zhongfei Zhang
159
Voted
ESANN
2004
15 years 6 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...