Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks

Vibhatha Abeykoon, Geoffrey C. Fox, Minje Kim, Saliya Ekanayake, Supun Kamburugamuve, Kannan Govindarajan, Pulasthi Wickramasinghe, Niranda Perera, Chathura Widanage, Ahmet Uyar, Gurhan Gunduz, Selahatin Akkas

Abstract: Support vector machines (SVM) is a widely used machine learning algorithm. With the increasing amount of research data nowadays, understanding how to do efficient training is more important than ever...