166 search results - page 7 / 34 » Classification on Data with Biased Class Distribution |
ICDM
2003
IEEE
14 years 27 days ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
IFIP12
2008
13 years 9 months ago
2008
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
ESANN
2004
13 years 9 months ago
2004
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...