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Shirish Krishnaj Shevade

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2007
17EES. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308
16EES. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Multiclass core vector machine. ICML 2007: 41-48
15EES. Sathiya Keerthi, Shirish Krishnaj Shevade: A Fast Tracking Algorithm for Generalized LARS/LASSO. IEEE Transactions on Neural Networks 18(6): 1826-1830 (2007)
14EES. Sundararajan, Shirish Krishnaj Shevade, S. Sathiya Keerthi: Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Computation 19(1): 283-301 (2007)
2006
13EEAsharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Core Vector Machine. ICDM 2006: 1038-1042
12EEShirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
11EEJ. Saketha Nath, Shirish Krishnaj Shevade: An efficient clustering scheme using support vector methods. Pattern Recognition 39(8): 1473-1480 (2006)
10EES. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Rough set based incremental clustering of interval data. Pattern Recognition Letters 27(6): 515-519 (2006)
2005
9 J. Saketha Nath, Shirish Krishnaj Shevade: An Efficient Clustering Scheme using Support Vector Methods. IICAI 2005: 3436-3448
8EES. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, A. Poo: A Fast Dual Algorithm for Kernel Logistic Regression. Machine Learning 61(1-3): 151-165 (2005)
7EES. Asharaf, Shirish Krishnaj Shevade, M. Narasimha Murty: Rough support vector clustering. Pattern Recognition 38(10): 1779-1783 (2005)
2004
6EEShirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi: Predictive Approaches for Sparse Model Learning. ICONIP 2004: 434-439
2003
5EEKaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo: Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134
4 Shirish Krishnaj Shevade, S. Sathiya Keerthi: A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics 19(17): 2246-2253 (2003)
3EES. Sathiya Keerthi, Shirish Krishnaj Shevade: SMO Algorithm for Least-Squares SVM Formulation. Neural Computation 15(2): 487-507 (2003)
2002
2 S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, Aun Neow Poo: A Fast Dual Algorithm for Kernel Logistic Regression. ICML 2002: 299-306
2001
1 S. Sathiya Keerthi, Shirish Krishnaj Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy: Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation 13(3): 637-649 (2001)

Coauthor Index

1S. Asharaf [7] [10] [16] [17]
2Chiranjib Bhattacharyya (Chiru Bhattacharyya) [1]
3Wei Chu [5] [12]
4Kaibo Duan [2] [5] [8]
5S. Sathiya Keerthi [1] [2] [3] [4] [5] [6] [8] [14] [15]
6K. R. K. Murthy [1]
7M. Narasimha Murty [7] [10] [13] [16] [17]
8J. Saketha Nath [9] [11]
9A. Poo [8]
10Aun Neow Poo [2] [5]
11Asharaf S [13]
12S. Sundararajan [6] [14]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)