Binarized support vector machines
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 minin...
Main Authors: | Romero-Morales, D, Carrizosa, E, Martin-Barragan, B |
---|---|
Format: | Journal article |
Published: |
2010
|
Similar Items
-
Binarized Support Vector Machines
by: Morales, M
Published: (2010) -
Multi-group Support Vector Machines with measurement costs: a biobjective approach
by: Romero-Morales, D, et al.
Published: (2008) -
Detecting relevant variables and interactions in supervised classification.
by: Romero-Morales, D, et al.
Published: (2011) -
On the selection of the globally optimal prototype subset for Nearest-Neighbor classification
by: Romero-Morales, D, et al.
Published: (2007) -
Image binarization of historical document image
by: Mat Som, Hafizan
Published: (2007)