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FSS
2007
117views more  FSS 2007»
13 years 7 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 7 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
IIE
2007
63views more  IIE 2007»
13 years 7 months ago
Investigation of Q-Learning in the Context of a Virtual Learning Environment
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
Dalia Baziukaite
TASLP
2008
102views more  TASLP 2008»
13 years 7 months ago
Acoustic Source Separation of Convolutive Mixtures Based on Intensity Vector Statistics
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochast...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
TSP
2008
91views more  TSP 2008»
13 years 7 months ago
Nonlinear and Nonideal Sampling: Theory and Methods
We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
Tsvi G. Dvorkind, Yonina C. Eldar, Ewa Matusiak