166 search results - page 4 / 34 » Classification on Data with Biased Class Distribution |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
MCS
2002
Springer
13 years 7 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
CVPR
2000
IEEE
13 years 11 months ago
2000
IEEE
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...