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Shirish Krishnaj Shevade: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Asharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade
    Cluster Based Core Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1038-1042 [Conf]
  2. Shirish Krishnaj Shevade, Wei Chu
    Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1054-1058 [Conf]
  3. S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, Aun Neow Poo
    A Fast Dual Algorithm for Kernel Logistic Regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:299-306 [Conf]
  4. Shirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi
    Predictive Approaches for Sparse Model Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:434-439 [Conf]
  5. J. Saketha Nath, Shirish Krishnaj Shevade
    An Efficient Clustering Scheme using Support Vector Methods. [Citation Graph (0, 0)][DBLP]
    IICAI, 2005, pp:3436-3448 [Conf]
  6. Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo
    Multi-category Classification by Soft-Max Combination of Binary Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:125-134 [Conf]
  7. S. Asharaf, M. Narasimha Murty, S. K. Shevade
    Cluster Based Training for Scaling Non-linear Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:304-308 [Conf]
  8. Shirish Krishnaj Shevade, S. Sathiya Keerthi
    A simple and efficient algorithm for gene selection using sparse logistic regression. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:17, pp:2246-2253 [Journal]
  9. S. Sathiya Keerthi, Shirish Krishnaj Shevade
    SMO Algorithm for Least-Squares SVM Formulation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:2, pp:487-507 [Journal]
  10. S. Sathiya Keerthi, Shirish Krishnaj Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
    Improvements to Platt's SMO Algorithm for SVM Classifier Design. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:3, pp:637-649 [Journal]
  11. S. Sundararajan, Shirish Krishnaj Shevade, S. Sathiya Keerthi
    Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:1, pp:283-301 [Journal]
  12. S. Asharaf, Shirish Krishnaj Shevade, M. Narasimha Murty
    Rough support vector clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:10, pp:1779-1783 [Journal]
  13. J. Saketha Nath, Shirish Krishnaj Shevade
    An efficient clustering scheme using support vector methods. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:8, pp:1473-1480 [Journal]
  14. S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade
    Rough set based incremental clustering of interval data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:6, pp:515-519 [Journal]
  15. S. Asharaf, M. Narasimha Murty, S. K. Shevade
    Multiclass core vector machine. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:41-48 [Conf]

  16. Semi-Supervised Classification Using Sparse Gaussian Process Regression. [Citation Graph (, )][DBLP]


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