3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2008★ 3 cited
Comparison of Binary Classification Based on Signed Distance Functions with Support Vector Machines
Erik M. Boczko, Todd Young, Minhui Zie +1
We investigate the performance of a simple signed distance function (SDF) based method by direct comparison with standard SVM packages, as well as K-nearest neighbor and RBFN metho…
cs.LG2008★ 1 cited
Binary Classification Based on Potentials
Erik Boczko, Andrew DiLullo, Todd Young
We introduce a simple and computationally trivial method for binary classification based on the evaluation of potential functions. We demonstrate that despite the conceptual and co…
cs.LG2005
The Signed Distance Function: A New Tool for Binary Classification
Erik M. Boczko, Todd R. Young
From a geometric perspective most nonlinear binary classification algorithms, including state of the art versions of Support Vector Machine (SVM) and Radial Basis Function Network…