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...
Babaria Rashmin N, Nandlalbhai Manishaben, Krishnan S, Sivaramakrishnan K R, C. Bhattacharyya
It is a pleasure to thank all those who made this thesis possible. I would like to thank my guide Dr. Chiranjib Bhattachryya for giving me the opportunity to work with him. Thank you sir, for your...
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming (2005)
Prasanna, HM, Ghose, D, Bhat, MS, Bhattacharyya, C, Umakant, J
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems the ascent phase...
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming (2005)
Prasanna, HM, Ghose, D, Bhat, MS, Bhattacharyya, C, Umakant, J
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems the ascent phase...
Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data (2004)
Bhattacharyya, C, Grate, LR, Jordan, MI, Ghaoui, El L, Mian, IS
Molecular profiling studies can generate abundance measurements for thousands of transcripts, proteins, metabolites, or other species in, for example, normal and tumor tissue samples. Treating such...
Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data (2004)
Bhattacharyya, C, Grate, LR, Jordan, MI, Ghaoui, El L, Mian, IS
Molecular profiling studies can generate abundance measurements for thousands of transcripts, proteins, metabolites, or other species in, for example, normal and tumor tissue samples. Treating such...
Robust sparse hyperplane classifiers: application to uncertain molecular profiling data (2004)
C. Bhattacharyya, L. R. Grate, M. I. Jordan, L. El Ghaoui, I. S. Mian
Key words: robust sparse hyperplanes; second-order cone program; linear programming; breast cancer; molecular profiling; two-class high-dimensional data
Robust Sparse Hyperplane Classifiers: Application to Uncertain (2004)
Molecular Profiling Data, C. Bhattacharyya, L. R. Grate, M. I. Jordan, L. El Ghaoui, I. S. Mian
Molecular profiling can generate abundance measurements for thousands of transcripts, proteins, metabolites or other species (features) in, for example, normal and tumor tissue samples (data points)....
Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces (2002)
L.R. Grate, C. Bhattacharyya, M.I. Jordan, I. S. Mian
Molecular profiling technologies monitor thousands of transcripts, proteins, metabolites or other species concurrently in biological samples of interest. Given two-class, high-dimensional profiling...
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...
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...
Information geometry and Plefka’s mean-field theory (2000)
Bhattacharyya, C, Keerthi, Sathiya S
An alternate derivation of Plefka’s method is presented which is obtained from minimizing Gibbs energy. It is shown that this method can be rederived using a perturbation expansion of...
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...
Information geometry and Plefka’s mean-field theory (2000)
Bhattacharyya, C, Keerthi, Sathiya S
An alternate derivation of Plefka’s method is presented which is obtained from minimizing Gibbs energy. It is shown that this method can be rederived using a perturbation expansion of...
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...
Induction of procoagulant activity on human endothelial cells by Streptococcus pneumoniae.
Geelen, S, Bhattacharyya, C, Tuomanen, E
The inflammatory response in infection caused by gram-negative organisms involves induction of procoagulant activity (PCA) on human endothelial cells. Although infections caused by gram-positive...
The cell wall mediates pneumococcal attachment to and cytopathology in human endothelial cells.
Geelen, S, Bhattacharyya, C, Tuomanen, E
Streptococcus pneumoniae interacts with vascular endothelial cells during the course of bacteremia. In this study, we characterized the initial attachment of pneumococci to human endothelial cells...
Rozdzinski, E, Sandros, J, Young, A, Spellerberg, B, Bhattacharyya, C, ...
Factor X (factor ten) of the coagulation cascade binds to the integrin CD11b/CD18 during inflammation, initiating procoagulant activity on the surface of leukocytes (Altieri, D.C., O.R. Etingin, D.S....
Induction of procoagulant activity on human endothelial cells by Streptococcus pneumoniae.
Geelen, S, Bhattacharyya, C, Tuomanen, E
The inflammatory response in infection caused by gram-negative organisms involves induction of procoagulant activity (PCA) on human endothelial cells. Although infections caused by gram-positive...
The cell wall mediates pneumococcal attachment to and cytopathology in human endothelial cells.
Geelen, S, Bhattacharyya, C, Tuomanen, E
Streptococcus pneumoniae interacts with vascular endothelial cells during the course of bacteremia. In this study, we characterized the initial attachment of pneumococci to human endothelial cells...
Rozdzinski, E, Sandros, J, Young, A, Spellerberg, B, Bhattacharyya, C, ...
Factor X (factor ten) of the coagulation cascade binds to the integrin CD11b/CD18 during inflammation, initiating procoagulant activity on the surface of leukocytes (Altieri, D.C., O.R. Etingin, D.S....