719 search results - page 34 / 144 » Discriminative learning for differing training and test dist... |
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
ANNPR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
AVBPA
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying import...
NIPS
2007
14 years 11 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
ECML
2004
Springer
15 years 3 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...