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## Search the dblp DataBase
S. Sathiya Keerthi:
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## Publications of Author- 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] - 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] - 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] - 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] - Wei Chu, S. Sathiya Keerthi
**New approaches to support vector ordinal regression.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:145-152 [Conf] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi
**Semi-Supervised Gaussian Process Classifiers.**[Citation Graph (0, 0)][DBLP] IJCAI, 2007, pp:1059-1064 [Conf] - 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] - 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] - 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] - 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] - S. Sathiya Keerthi, Wei Chu
**A matching pursuit approach to sparse Gaussian process regression.**[Citation Graph (0, 0)][DBLP] NIPS, 2005, pp:- [Conf] - 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] - Vikas Sindhwani, S. Sathiya Keerthi
**Large scale semi-supervised linear SVMs.**[Citation Graph (0, 0)][DBLP] SIGIR, 2006, pp:477-484 [Conf] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] **A dual coordinate descent method for large-scale linear SVM.**[Citation Graph (, )][DBLP]**A sequential dual method for large scale multi-class linear svms.**[Citation Graph (, )][DBLP]
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