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S. Sathiya Keerthi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Abhi Dattasharma, S. Sathiya Keerthi
    Translational Motion Planning for a Convex Polyhedron in a 3D Polyhedral World Using an Efficient and New Roadmap. [Citation Graph (0, 0)][DBLP]
    CCCG, 1993, pp:449-454 [Conf]
  2. Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong
    A Machine Learning Approach for the Curation of Biomedical Literature. [Citation Graph (0, 0)][DBLP]
    ECIR, 2003, pp:597-604 [Conf]
  3. K. R. K. Murthy, S. Sathiya Keerthi
    Context Filters for Document-based Information Filtering. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:709-712 [Conf]
  4. C. S. Sundaresan, S. Sathiya Keerthi
    A Study of Representations for Pen based Handwriting Recognition of Tamil Characters. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:422-425 [Conf]
  5. Wei Chu, S. Sathiya Keerthi
    New approaches to support vector ordinal regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:145-152 [Conf]
  6. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
    A Unified Loss Function in Bayesian Framework for Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:51-58 [Conf]
  7. S. Sathiya Keerthi
    Generalized LARS as an effective feature selection tool for text classification with SVMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:417-424 [Conf]
  8. 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]
  9. Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle
    Deterministic annealing for semi-supervised kernel machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:841-848 [Conf]
  10. 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]
  11. S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert
    EquiDistance Diagram: A New Roadmap Method for Path Planning. [Citation Graph (0, 0)][DBLP]
    ICRA, 1999, pp:682-687 [Conf]
  12. Nukala V. R. K. N. Murthy, S. Sathiya Keerthi
    Optimal Control of a Somersaulting Platform Diver: A Numerical Approach. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:1013-1018 [Conf]
  13. Sudhaker Samuel, S. Sathiya Keerthi
    Numerical Determination of Optimal Non-Holonomic Paths in the Presence of Obstacles. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:826-831 [Conf]
  14. K. Sridharan, Harry E. Stephanou, S. Sathiya Keerthi
    On Computing a Distance Measure for Path Planning. [Citation Graph (0, 0)][DBLP]
    ICRA (1), 1993, pp:554-559 [Conf]
  15. Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi
    Semi-Supervised Gaussian Process Classifiers. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1059-1064 [Conf]
  16. Rakesh Menon, Han Tong Loh, S. Sathiyakeerthi, Aarnout Brombacher
    Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1008-1014 [Conf]
  17. Kaibo Duan, S. Sathiya Keerthi
    Which Is the Best Multiclass SVM Method? An Empirical Study. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:278-285 [Conf]
  18. 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]
  19. Chiranjib Bhattacharyya, S. Sathiya Keerthi
    A Variational Mean-Field Theory for Sigmoidal Belief Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:374-380 [Conf]
  20. S. Sathiya Keerthi, Wei Chu
    A matching pursuit approach to sparse Gaussian process regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  21. S. Sundararajan, S. Sathiya Keerthi
    Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:631-637 [Conf]
  22. Vikas Sindhwani, S. Sathiya Keerthi
    Large scale semi-supervised linear SVMs. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:477-484 [Conf]
  23. Vijay Chandru, Abhi Dattasharma, S. Sathiya Keerthi, N. K. Sancheti, V. Vinay
    Algorithms for the Optimal Loading of Recursive Neural Nets. [Citation Graph (0, 0)][DBLP]
    SODA, 1995, pp:342-349 [Conf]
  24. 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]
  25. Colin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.
    Special issue on support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:1-3 [Journal]
  26. Kaibo Duan, S. Sathiya Keerthi, Aun Neow Poo
    Evaluation of simple performance measures for tuning SVM hyperparameters. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:41-59 [Journal]
  27. L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, X. J. Fu, H. P. Lee
    Developing parallel sequential minimal optimization for fast training support vector machine. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:70, n:1-3, pp:93-104 [Journal]
  28. K. Sridharan, Harry E. Stephanou, K. C. Craig, S. Sathiya Keerthi
    Distance Measures on Intersecting Objects and Their Applications. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1994, v:51, n:4, pp:181-188 [Journal]
  29. Chiranjib Bhattacharyya, S. Sathiya Keerthi
    Mean Field Methods for a Special Class of Belief Networks. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:91-114 [Journal]
  30. S. Sathiya Keerthi, Dennis DeCoste
    A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:341-361 [Journal]
  31. S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
    Building Support Vector Machines with Reduced Classifier Complexity. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1493-1515 [Journal]
  32. S. Sathiya Keerthi, Kaibo Duan, S. Shevade, A. Poo
    A Fast Dual Algorithm for Kernel Logistic Regression. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:61, n:1-3, pp:151-165 [Journal]
  33. S. Sathiya Keerthi, Elmer G. Gilbert
    Convergence of a Generalized SMO Algorithm for SVM Classifier Design. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:351-360 [Journal]
  34. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
    Bayesian Trigonometric Support Vector Classifier. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:9, pp:2227-225 [Journal]
  35. S. Sathiya Keerthi, Chih-Jen Lin
    Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:7, pp:1667-1689 [Journal]
  36. 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]
  37. 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]
  38. S. Sundararajan, S. Sathiya Keerthi
    Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:5, pp:1103-1118 [Journal]
  39. 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]
  40. Wei Chu, S. Sathiya Keerthi
    Support Vector Ordinal Regression. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:792-815 [Journal]
  41. K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty
    Rule prepending and post-pruning approach to incremental learning of decision lists. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:8, pp:1697-1699 [Journal]
  42. S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh
    A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1). [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:93-94 [Journal]
  43. Abhi Dattasharma, S. Sathiya Keerthi
    An Augmented Voronoi Roadmap for 3D Translational Motion Planning for a Convex Polyhedron Moving Amidst Convex Polyhedral Obstacles. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1995, v:140, n:2, pp:205-230 [Journal]
  44. G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi
    A stochastic connectionist approach for global optimization with application to pattern clustering. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:1, pp:10-24 [Journal]
  45. Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
    Trust region Newton methods for large-scale logistic regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:561-568 [Conf]
  46. Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi
    Relational Learning with Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:289-296 [Conf]
  47. S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle
    An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:673-680 [Conf]
  48. Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi
    Branch and Bound for Semi-Supervised Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:217-224 [Conf]
  49. S. Sathiya Keerthi, John A. Tomlin
    Constructing a maximum utility slate of on-line advertisements [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  50. A dual coordinate descent method for large-scale linear SVM. [Citation Graph (, )][DBLP]


  51. A sequential dual method for large scale multi-class linear svms. [Citation Graph (, )][DBLP]


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