Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis.

V. Vijaya Saradhi K. R. Girish

Published in: Neural Process. Lett. (2015)

Keyphrases

parameter tuning
data envelopment analysis
support vector
ink bleed
maximum margin
parameter settings
input output
multi criteria
linear programming
worst case
upper bound
training set
lower bound
machine learning
multi class
dea models
rademacher complexity
multiple objective linear programming
feature selection