4935 search results - page 191 / 987 » An Adaptive Supersampling Method |
SDM
2008
SIAM
13 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...
NIPS
2007
13 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...
COLING
1992
13 years 11 months ago
1992
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
An important application for microphone arrays is to extract highquality output from a single wideband source in multi-source and adverse environments. Methods based on blind-sour...