3 papers
cs.LG2017
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation
Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri +2
We propose new methods for Support Vector Machines (SVMs) using tree architecture for multi-class classi- fication. In each node of the tree, we select an appropriate binary classi…
cs.LG2013
Sub-Classifier Construction for Error Correcting Output Code Using Minimum Weight Perfect Matching
Patoomsiri Songsiri, Thimaporn Phetkaew, Ryutaro Ichise +1
Multi-class classification is mandatory for real world problems and one of promising techniques for multi-class classification is Error Correcting Output Code. We propose a method…
cs.LG2013
Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance
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. This concept will be applied…