105 search results - page 2 / 21 » Making generative classifiers robust to selection bias |
SDM
2008
SIAM
13 years 6 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...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
The XCS Learning Classifier System has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as prov...
BMCBI
2006
13 years 5 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper proposes a new smart crossover operator for a Pittsburgh Learning Classifier System. This operator, unlike other recent LCS approaches of smart recombination, does not ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Traditional channel quantization based methods for encryption key generation usually suffer from the quantization error which may decrease the key agreement ratio between authoriz...