4 search results - page 1 / 1 » Direct Density Ratio Estimation for Large-scale Covariate Sh... |
SDM
2008
SIAM
13 years 5 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...
NIPS
2007
13 years 5 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...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
ML
2012
ACM
11 years 12 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...