Rule prepending and post-pruning approach to incremental learning of decision lists (2001)
Murthy, KRK, Keerthi, SS, Murty, MN
A decision list [1], DL, is defined as a list of ordered pairs $\{(T_1,V_1), (T_2,V_2),... , (T_r,V_r)\}$. These pairs are called nodes and they are denoted as $N_1,N_2,...,N_r$, where...
Improvements to Platt's SMO algorithm for SVM classifier design (2001)
Keerthi, SS, Shevade, SK, Bhattacharyya, C, Murthy, KRK
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 KKT...
Rule prepending and post-pruning approach to incremental learning of decision lists (2001)
Murthy, KRK, Keerthi, SS, Murty, MN
A decision list [1], DL, is defined as a list of ordered pairs $\{(T_1,V_1), (T_2,V_2),... , (T_r,V_r)\}$. These pairs are called nodes and they are denoted as $N_1,N_2,...,N_r$, where...
Improvements to the SMO algorithm for SVM regression (2000)
Shevade, SK, Keerthi, SS, Bhattacharyya, C, Murthy, KRK
This paper points out an important source of inefficiency in Smola and Scholkopfs sequential minimal optimization (SMO) algorithm for support vector machine (SVM)regression that is caused by the use...
A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design (2000)
Keerthi, SS, Shevade, SK, Bhattacharyya, C, Murthy, KRK
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 is...
Improvements to the SMO algorithm for SVM regression (2000)
Shevade, SK, Keerthi, SS, Bhattacharyya, C, Murthy, KRK
This paper points out an important source of inefficiency in Smola and Scholkopfs sequential minimal optimization (SMO) algorithm for support vector machine (SVM)regression that is caused by the use...
A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design (2000)
Keerthi, SS, Shevade, SK, Bhattacharyya, C, Murthy, KRK
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 is...
Context Filters for Document-Based Information Filtering (1999)
In this paper we propose a keyphrase-sense disambiguation methodology called "context filters" for use in keyphrase based information filtering systems. A context filter finds whether an input...
Context Filters for Document-Based Information Filtering (1999)
In this paper we propose a keyphrase-sense disambiguation methodology called "context filters" for use in keyphrase based information filtering systems. A context filter finds whether an input...