466 search results - page 42 / 94 » Feature subset selection bias for classification learning |
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
BLISS
2009
IEEE
14 years 11 months ago
2009
IEEE
The exploitation of biometrics information in human shadow silhouettes (shadow biometrics), derived from video imagery after processing by gait analysis methods opens new avenues ...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
ICMLA
2008
14 years 11 months ago
2008
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
ADBIS
1999
Springer
15 years 2 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...