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ICANNGA
2007
Springer
129views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
Javier Acevedo, Saturnino Maldonado-Bascón,...
CEC
2010
IEEE
13 years 2 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
CEC
2009
IEEE
13 years 11 months ago
Search methodologies for efficient planetary site selection
Landing on distant planets is always a challenging task due to the distance and hostile environments found. In the design of autonomous hazard avoidance systems we find the particu...
Luís F. Simões, Tiago C. Pais, Rita ...
ICPR
2008
IEEE
14 years 8 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
AWCC
2004
Springer
14 years 23 days ago
Rule Discovery with Particle Swarm Optimization
Abstract. This paper proposes Particle Swarm Optimization (PSO) algorithm to discover classification rules. The potential IF-THEN rules are encoded into real-valued particles that...
Yu Liu, Qin Zheng, Zhewen Shi, Junying Chen