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IMSCCS
2006
IEEE
13 years 9 months ago
Estimation Of Cross-Hybridization Signals Using Support Vector Regression
Microarray technology is a powerful biotechnology tool which allows researchers to simultaneously evaluate the expression of thousands of genes, if not the entire expressed genome...
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
IGARSS
2010
13 years 1 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...
PROMISE
2010
12 years 10 months ago
How effective is Tabu search to configure support vector regression for effort estimation?
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...
Anna Corazza, Sergio Di Martino, Filomena Ferrucci...
TSD
2005
Springer
13 years 9 months ago
Mapping the Speech Signal onto Electromagnetic Articulography Trajectories Using Support Vector Regression
Abstract. We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for th...
Asterios Toutios, Konstantinos G. Margaritis
ICASSP
2011
IEEE
12 years 7 months ago
Support vector regression fusion scheme in phone duration modeling
A fusion scheme of phone duration models (PDMs) is presented in this work. Specifically, a support vector regression (SVR)-fusion model is fed with the predictions of a group of i...
Alexandros Lazaridis, Iosif Mporas, Todor Ganchev,...