# 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

Fast training of support vector machines using sequential minimal optimization, advances in kernel methods

- Mathematics, Computer Science
- 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