6 citations · 6 across the 1 of their papers we have counts for
3 papers
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines
Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro
The support vector machines (SVM) is one of the most widely used and practical optimization based classification models in machine learning because of its interpretability and flex…
Engineering fast multilevel support vector machines
E. Sadrfaridpour, T. Razzaghi, I. Safro
The computational complexity of solving nonlinear support vector machine (SVM) is prohibitive on large-scale data. In particular, this issue becomes very sensitive when the data re…
Algebraic multigrid support vector machines
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy +3
The support vector machine is a flexible optimization-based technique widely used for classification problems. In practice, its training part becomes computationally expensive on l…