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EUSFLAT
2009
679views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
Carlos Campos Bracho
FSS
2008
130views more  FSS 2008»
14 years 9 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
78
Voted
ESANN
2003
14 years 11 months ago
Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river
: In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water...
Biswanath Bhattacharya, Dimitri P. Solomatine
62
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Multi-class Model M
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Ahmad Emami, Stanley F. Chen
WSC
2008
14 years 12 months ago
DE2M: A solution for analyzing supply chain
María de los Milagros Gutiérrez, Hor...