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OL
2011
332views Neural Networks» more  OL 2011»
15 years 1 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
BMCBI
2007
197views more  BMCBI 2007»
15 years 7 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
ICPR
2002
IEEE
16 years 8 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
ISNN
2007
Springer
16 years 1 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
LCN
2006
IEEE
16 years 26 days ago
A New Stable AQM Algorithm Exploiting RTT Estimation
AQM is a technique for congestion control such that a router notifies congestion to a TCP sender when congestion occurs. Almost no AQM algorithms ever take the RTT values of TCP ...
Hayato Hoshihara, Hisashi Koga, Toshinori Watanabe