S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy  Home/Search
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Abstract: This paper points out an important source of confusion and ineciency in Platt's Sequential Minimal Optimization (SMO) algorithm that is caused by the use of a single threshold value. Using clues from the KKT conditions for the dual problem, two threshold parameters are employed to derive modi cations of SMO. These modi ed algorithms perform signi cantly faster than the original SMO on all benchmark datasets tried. 1 Introduction In the past few years, there has been a lot of excitement... (Update)
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BibTeX entry: (Update)
S. Keerthi, S. Shevade, C. Bhattacharyya and K. Murthy. Improvements to Platt's SMO algorithm for SVM classifier design. Tech Report, Dept. of CSA, Banglore, India, 1999. http://citeseer.ist.psu.edu/244558.html More
@misc{ keerthi99improvements,
author = "S. Keerthi and S. Shevade and C. Bhattacharyya and K. Murthy",
title = "Improvements to Platt's SMO algorithm for SVM classifier design",
text = "S. Keerthi, S. Shevade, C. Bhattacharyya and K. Murthy. Improvements to
Platt's SMO algorithm for SVM classifier design. Tech Report, Dept. of CSA,
Banglore, India, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/244558.html" }
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