64 search results - page 3 / 13 » Fuzzy relevance vector machine for learning from unbalanced ... |
JCP
2006
13 years 7 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
DSMML
2004
Springer
14 years 26 days ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
FSKD
2008
Springer
13 years 8 months ago
2008
Springer
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
VIS
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
ICANN
2009
Springer
14 years 2 days ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...