4935 search results - page 191 / 987 » An Adaptive Supersampling Method |
124
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SDM
2008
SIAM
15 years 4 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...
128
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NIPS
2007
15 years 4 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...
118
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COLING
1992
15 years 4 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...
136
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GECCO
2008
Springer
15 years 4 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...
111
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ICASSP
2010
IEEE
15 years 3 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...