683 search results - page 47 / 137 » Nonlinear functional regression: a functional RKHS approach |
109
click to vote
CGF
2010
14 years 9 months ago
2010
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
GLOBECOM
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ESANN
2000
14 years 11 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...