1148 search results - page 22 / 230 » Methods for Dynamic Classifier Selection |
ICIAP
2005
ACM
14 years 7 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
TCBB
2011
13 years 2 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
FLAIRS
2004
13 years 9 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
EUSFLAT
2009
13 years 5 months ago
2009
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...