Title :
Sequential training of Support Vector Machine
Author :
Ivica M. Markovic;Branimir T. Todorovic
Author_Institution :
Faculty of Electronics, Department of Computer Science, University of Nis, Yugoslavia
Abstract :
In this paper we present efficient implementation of an algorithm for sequential training of Support Vector Machine. Algorithm is obtained by maintaining Karush-Kuhn-Tucker optimality conditions while learning from new example. We have tested the performance of our implementation on widely recognized classification benchmark tests.
Keywords :
"Support vector machines","Support vector machine classification","Data mining","Machine learning","Benchmark testing","Kernel","Training data","Electronic mail","Neural networks","Sequential analysis"
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2008. NEUREL 2008. 9th Symposium on
Print_ISBN :
978-1-4244-2903-5
DOI :
10.1109/NEUREL.2008.4685556
