283 search results - page 43 / 57 » Neural Learning from Unbalanced Data |
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
ISCIS
2005
Springer
14 years 1 months ago
2005
Springer
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
DAGSTUHL
2009
13 years 8 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...