1900 search results - page 316 / 380 » Gaussian Processes in Machine Learning |
NECO
2011
13 years 3 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
ICASSP
2011
IEEE
13 years 20 days ago
2011
IEEE
Recently, Multiple Background Models (M-BMs) [1, 2] have been shown to be useful in speaker verification, where the M-BMs are formed based on different Vocal Tract Lengths (VTLs)...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
ALT
2008
Springer
14 years 5 months ago
2008
Springer
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
IWLCS
2001
Springer
14 years 1 months ago
2001
Springer
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...