no code implementations • 28 Aug 2017 • Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri, Ken-ichi Fukui, Masayuki Numao
We propose new methods for Support Vector Machines (SVMs) using tree architecture for multi-class classi- fication.
no code implementations • 27 Dec 2013 • Patoomsiri Songsiri, Thimaporn Phetkaew, Ryutaro Ichise, Boonserm Kijsirikul
We propose a method for constructing the Error Correcting Output Code to obtain the suitable combination of positive and negative classes encoded to represent binary classifiers.
no code implementations • 11 Sep 2013 • Patoomsiri Songsiri, Thimaporn Phetkaew, Boonserm Kijsirikul
We propose several novel methods for enhancing the multi-class SVMs by applying the generalization performance of binary classifiers as the core idea.