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» Nonlinear functional regression: a functional RKHS approach
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SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
15 years 3 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
MLCW
2005
Springer
15 years 3 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
IJCNN
2006
IEEE
15 years 3 months ago
Local Support Vector Regression for Financial Time Series Prediction
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
CVPR
2004
IEEE
15 years 11 months ago
Radiometric Alignment of Image Sequences
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
Seon Joo Kim, Marc Pollefeys
ICPR
2008
IEEE
15 years 4 months ago
Vector valued regression for iron overload estimation
In this work we present and discuss in detail a novel vector-valued regression technique: our approach allows for an all-at-once estimation, as opposed to solve a number of scalar...
Luca Baldassarre, Annalisa Barla, Barbara Gianesin...