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CEC
2008
IEEE
15 years 10 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
SSPR
1998
Springer
15 years 8 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
141
Voted
ECML
2006
Springer
15 years 7 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
ACL
2006
15 years 5 months ago
Factoring Synchronous Grammars by Sorting
Synchronous Context-Free Grammars (SCFGs) have been successfully exploited as translation models in machine translation applications. When parsing with an SCFG, computational comp...
Daniel Gildea, Giorgio Satta, Hao Zhang
ICASSP
2011
IEEE
14 years 7 months ago
On optimal precoding in wireless multicast systems
Precoding has been extensively studied for point-to-point communications, including the problems of constructing the precoding codebook and selecting the best precoder. This paper...
Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, San...