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IJON
2006
131views more  IJON 2006»
13 years 9 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
JMLR
2006
113views more  JMLR 2006»
13 years 9 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
FSS
2007
117views more  FSS 2007»
13 years 9 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
PR
2008
85views more  PR 2008»
13 years 9 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
JCIT
2007
84views more  JCIT 2007»
13 years 9 months ago
Using Educational Technology to Attain English-Level Inclusion for Asian Business/Technology Students
Just about if not every Native English Speaking Teacher (NEST) in Korea has faced the situation of having to accommodate students with varying, sometimes to dramatic degrees, leve...
David W. Deeds