Journal article icon

Journal article

Binarized support vector machines

Abstract:

The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining. In this work, we propose an SVM-based method that automatically detects the most important predictor variables and the role they play in the classifier. In particular, the proposed method is ab...

Expand abstract

Actions


Access Document


Files:

Authors


Publication date:
2010-01-01
URN:
uuid:cb1bfd6a-bfcb-42b4-8202-b2154d87da5e
Local pid:
oai:eureka.sbs.ox.ac.uk:421

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP