S. S. Keerthi, S. K. Shevade, C. Bhattacharyya
This article points out an important source of inefficiency in Platt’s sequential minimal optimization (SMO) algorithm that is caused by the use of a single threshold value. Using clues from the...
Improvements to SMO Algorithm for SVM Regression 1 (2007)
S. K. Shevade, S. S. Keerthi, C. Bhattacharyya
A revised version of this report is under preparation for submission to a journal. We welcome any comments and suggestions for improving this report. This paper points out an important source of...
Improvements to SMO Algorithm for SVM Regression 1 (2007)
S. K. Shevade, S. S. Keerthi, C. Bhattacharyya
This paper points out an important source of inefficiency in Smola and Scholkopf's Sequential Minimal Optimization (SMO) algorithm for SVM regression that is caused by the use of a single...
A Fast Dual Algorithm for Kernel Logistic (2007)
Regression Keerthi Duan, S. S. Keerthi, K. Duan, S. K. Shevade, A. N. Poo
This paper gives a new iterative algorithm for kernel logistic regression.
Multiclass Core Vector Machine (2007)
S. Asharaf, M. Narasimha Murty, S. K. Shevade
Even though several techniques have been proposed in the literature for achieving multiclass classification using Support Vector Machine(SVM), the scalability aspect of these approaches to handle...
A simple and efficient algorithm for gene selection using sparse logistic regression (2003)
Shevade, S. K., Keerthi, S. S.
Motivation: This paper gives a new and efficient algorithm for the sparse logistic regression problem. The proposed algorithm is based on the Gauss–Seidel method and is asymptotically convergent....
A fast iterative nearest point algorithm for support vector machine classifier design (2000)
S. S. Keerthi, S. K. Shevade, C. Bhattacharyya
Abstract—In this paper we give a new fast iterative algorithm for support vector machine (SVM) classifier design. The basic problem treated is one that does not allow classification violations. The...
Improvements to the SMO algorithm for SVM regression (2000)
S. K. Shevade, S. S. Keerthi, C. Bhattacharyya, In Smola
Abstract—This paper points out an important source of inefficiency
A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design (1999)
S.S. Keerthi, S. K. Shevade, C. Bhattacharyya
In this paper we give a new, fast iterative algorithm for support vector machine (SVM) classifier design. The basic problem treated is one that does not allow classification violations. The problem...
Improvements to Platt's SMO Algorithm for SVM Classifier Design (1999)
S.S. Keerthi, S. K. Shevade, C. Bhattacharyya
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...
A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design (1999)
S.S. Keerthi, S. K. Shevade, C. Bhattacharyya
In this paper we give a new, fast iterative algorithm for support vector machine (SVM) classifier design. The basic problem treated is one that does not allow classification violations. The problem...