S. Sathiya Keerthi - researchr alias

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2011

A Sequential Dual Method for Structural SVMsShirish Krishnaj Shevade, Balamurugan P., S. Sundararajan, S. Sathiya Keerthi. sdm 2011: 223-234 [doi]

2010

Efficient algorithms for ranking with SVMsOlivier Chapelle, S. Sathiya Keerthi. ir, 13(3):201-215, 2010. [doi]

2008

2007

2006

Developing parallel sequential minimal optimization for fast training support vector machineL. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee. ijon, 70(1-3):93-104, 2006. [doi]

Parallel sequential minimal optimization for the training of support vector machinesL. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee. tnn, 17(4):1039-1049, 2006. [doi]

Branch and Bound for Semi-Supervised Support Vector MachinesOlivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi. nips 2007: 217-224 [doi]

Relational Learning with Gaussian ProcessesWei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi. nips 2007: 289-296 [doi]

Building Support Vector Machines with Reduced Classifier ComplexityS. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste. jmlr, 7:1493-1515, 2006. [doi]

An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM ModelsS. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle. nips 2007: 673-680 [doi]

Large scale semi-supervised linear SVMsVikas Sindhwani, S. Sathiya Keerthi. sigir 2006: 477-484 [doi]

Deterministic annealing for semi-supervised kernel machinesVikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle. icml 2006: 841-848 [doi]

2005

2004

Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learningC. J. Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang. automatica, 40(11):1955-1964, 2004. [doi]

Predictive Approaches for Sparse Model LearningShirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi. iconip 2004: 434-439 [doi]

2003

Special issue on support vector machinesColin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.. ijon, 55(1-2):1-3, 2003. [doi]

Bayesian Trigonometric Support Vector ClassifierWei Chu, S. Sathiya Keerthi, Chong Jin Ong. neco, 15(9):2227-225, 2003. [doi]

Evaluation of simple performance measures for tuning SVM hyperparametersKaibo Duan, S. Sathiya Keerthi, Aun Neow Poo. ijon, 51:41-59, 2003. [doi]

Multi-category Classification by Soft-Max Combination of Binary ClassifiersKaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo. mcs 2003: 125-134 [doi]

Asymptotic Behaviors of Support Vector Machines with Gaussian KernelS. Sathiya Keerthi, Chih-Jen Lin. neco, 15(7):1667-1689, 2003. [doi]

SMO Algorithm for Least-Squares SVM FormulationS. Sathiya Keerthi, Shirish Krishnaj Shevade. neco, 15(2):487-507, 2003. [doi]

Automated Text Classification for Fast Feedback - Investigating the Effects of Document RepresentationRakesh Menon, Han Tong Loh, S. Sathiya Keerthi, Aarnout Brombacher. kes 2003: 1008-1014 [doi]

A simple and efficient algorithm for gene selection using sparse logistic regressionShirish Krishnaj Shevade, S. Sathiya Keerthi. bioinformatics, 19(17):2246-2253, 2003.

A Machine Learning Approach for the Curation of Biomedical LiteratureMin Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong. ecir 2003: 597-604 [doi]

2002

2001

2000

A stochastic connectionist approach for global optimization with application to pattern clusteringG. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi. tsmc, 30(1):10-24, 2000.

A Variational Mean-Field Theory for Sigmoidal Belief NetworksChiranjib Bhattacharyya, S. Sathiya Keerthi. nips 2001: 374-380

1999

1998

Synthesis of fault-tolerant feedforward neural networks using minimax optimizationDipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi. tnn, 9(5):891-900, 1998. [doi]

1995

Algorithms for the Optimal Loading of Recursive Neural NetsVijay Chandru, Abhi Dattasharma, S. Sathiya Keerthi, N. K. Sancheti, V. Vinay. soda 1995: 342-349

An Augmented Voronoi Roadmap for 3D Translational Motion Planning for a Convex Polyhedron Moving Amidst Convex Polyhedral ObstaclesAbhi Dattasharma, S. Sathiya Keerthi. TCS, 140(2):205-230, 1995. [doi]

1994

Distance Measures on Intersecting Objects and Their ApplicationsK. Sridharan, Harry E. Stephanou, K. C. Craig, S. Sathiya Keerthi. ipl, 51(4):181-188, 1994.

1993

Translational Motion Planning for a Convex Polyhedron in a 3D Polyhedral World Using an Efficient and New RoadmapAbhi Dattasharma, S. Sathiya Keerthi. cccg 1993: 449-454

Optimal Control of a Somersaulting Platform Diver: A Numerical ApproachNukala V. R. K. N. Murthy, S. Sathiya Keerthi. icra 1993: 1013-1018

Numerical Determination of Optimal Non-Holonomic Paths in the Presence of ObstaclesSudhaker Samuel, S. Sathiya Keerthi. icra 1993: 826-831

On Computing a Distance Measure for Path PlanningK. Sridharan, Harry E. Stephanou, S. Sathiya Keerthi. icra 1993: 554-559