Corpus ID: 5787662

# BSVM: A Banded Suport Vector Machine

@article{Pendse2011BSVMAB,
title={BSVM: A Banded Suport Vector Machine},
author={Gautam V. Pendse},
journal={ArXiv},
year={2011},
volume={abs/1107.2347}
}
We describe a novel binary classification technique called Banded SVM (B-SVM). In the standard C-SVM formulation of Cortes et al. (1995), the decision rule is encouraged to lie in the interval [1, \infty]. The new B-SVM objective function contains a penalty term that encourages the decision rule to lie in a user specified range [\rho_1, \rho_2]. In addition to the standard set of support vectors (SVs) near the class boundaries, B-SVM results in a second set of SVs in the interior of each class.

#### References

SHOWING 1-7 OF 7 REFERENCES
A training algorithm for optimal margin classifiers
• Mathematics, Computer Science
• COLT '92
• 1992
Support-Vector Networks
• Computer Science
• Machine Learning
• 2004
Probabilistic kernel regression models
• Computer Science
• AISTATS
• 1999
Vapnik . Supportvector networks
• Machine Learning
• 1995
Pattern recognition using generalized portrait method. Automation and Remote Control
• Pattern recognition using generalized portrait method. Automation and Remote Control
• 1963