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S. Sathiya Keerthi Vis

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*2008
55EECho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan: A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
54EES. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin: A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416
2007
53EEChih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi: Trust region Newton methods for large-scale logistic regression. ICML 2007: 561-568
52EEVikas Sindhwani, Wei Chu, S. Sathiya Keerthi: Semi-Supervised Gaussian Process Classifiers. IJCAI 2007: 1059-1064
51EES. Sathiya Keerthi, John A. Tomlin: Constructing a maximum utility slate of on-line advertisements CoRR abs/0706.1318: (2007)
50EES. Sathiya Keerthi, Shirish Krishnaj Shevade: A Fast Tracking Algorithm for Generalized LARS/LASSO. IEEE Transactions on Neural Networks 18(6): 1826-1830 (2007)
49EES. Sundararajan, Shirish Krishnaj Shevade, S. Sathiya Keerthi: Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Computation 19(1): 283-301 (2007)
48EEWei Chu, S. Sathiya Keerthi: Support Vector Ordinal Regression. Neural Computation 19(3): 792-815 (2007)
2006
47EEVikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle: Deterministic annealing for semi-supervised kernel machines. ICML 2006: 841-848
46EEOlivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi: Branch and Bound for Semi-Supervised Support Vector Machines. NIPS 2006: 217-224
45EEWei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
44EES. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle: An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. NIPS 2006: 673-680
43EEVikas Sindhwani, S. Sathiya Keerthi: Large scale semi-supervised linear SVMs. SIGIR 2006: 477-484
42EEL. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee: Parallel sequential minimal optimization for the training of support vector machines. IEEE Transactions on Neural Networks 17(4): 1039-1049 (2006)
41EES. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste: Building Support Vector Machines with Reduced Classifier Complexity. Journal of Machine Learning Research 7: 1493-1515 (2006)
40EEL. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee: Developing parallel sequential minimal optimization for fast training support vector machine. Neurocomputing 70(1-3): 93-104 (2006)
2005
39EEWei Chu, S. Sathiya Keerthi: New approaches to support vector ordinal regression. ICML 2005: 145-152
38EES. Sathiya Keerthi: Generalized LARS as an effective feature selection tool for text classification with SVMs. ICML 2005: 417-424
37EEKaibo Duan, S. Sathiya Keerthi: Which Is the Best Multiclass SVM Method? An Empirical Study. Multiple Classifier Systems 2005: 278-285
36EES. Sathiya Keerthi, Wei Chu: A matching pursuit approach to sparse Gaussian process regression. NIPS 2005
35EES. Sathiya Keerthi, Dennis DeCoste: A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. Journal of Machine Learning Research 6: 341-361 (2005)
34EES. 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)
2004
33EEShirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi: Predictive Approaches for Sparse Model Learning. ICONIP 2004: 434-439
32EEC. J. Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang: Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning. Automatica 40(11): 1955-1964 (2004)
2003
31EEMin 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. ECIR 2003: 597-604
30EERakesh Menon, Han Tong Loh, S. Sathiya Keerthi, Aarnout Brombacher: Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation. KES 2003: 1008-1014
29EEKaibo 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
28 Shirish Krishnaj Shevade, S. Sathiya Keerthi: A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics 19(17): 2246-2253 (2003)
27EES. Sathiya Keerthi, Shirish Krishnaj Shevade: SMO Algorithm for Least-Squares SVM Formulation. Neural Computation 15(2): 487-507 (2003)
26EES. Sathiya Keerthi, Chih-Jen Lin: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel. Neural Computation 15(7): 1667-1689 (2003)
25EEWei Chu, S. Sathiya Keerthi, Chong Jin Ong: Bayesian Trigonometric Support Vector Classifier. Neural Computation 15(9): 2227-225 (2003)
24EEKaibo Duan, S. Sathiya Keerthi, Aun Neow Poo: Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing 51: 41-59 (2003)
23EEColin Campbell, Chih-Jen Lin, S. Sathiya Keerthi, V. David Sánchez A.: Special issue on support vector machines. Neurocomputing 55(1-2): 1-3 (2003)
2002
22 S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, Aun Neow Poo: A Fast Dual Algorithm for Kernel Logistic Regression. ICML 2002: 299-306
21 S. Sathiya Keerthi, Elmer G. Gilbert: Convergence of a Generalized SMO Algorithm for SVM Classifier Design. Machine Learning 46(1-3): 351-360 (2002)
20EES. 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). SIGKDD Explorations 4(2): 93-94 (2002)
2001
19 Wei Chu, S. Sathiya Keerthi, Chong Jin Ong: A Unified Loss Function in Bayesian Framework for Support Vector Regression. ICML 2001: 51-58
18EEChiranjib Bhattacharyya, S. Sathiya Keerthi: Mean Field Methods for a Special Class of Belief Networks. J. Artif. Intell. Res. (JAIR) 15: 91-114 (2001)
17 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)
16 S. Sundararajan, S. Sathiya Keerthi: Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. Neural Computation 13(5): 1103-1118 (2001)
15EEK. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty: Rule prepending and post-pruning approach to incremental learning of decision lists. Pattern Recognition 34(8): 1697-1699 (2001)
2000
14 Chiranjib Bhattacharyya, S. Sathiya Keerthi: A Variational Mean-Field Theory for Sigmoidal Belief Networks. NIPS 2000: 374-380
13 G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi: A stochastic connectionist approach for global optimization with application to pattern clustering. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(1): 10-24 (2000)
1999
12EEC. S. Sundaresan, S. Sathiya Keerthi: A Study of Representations for Pen based Handwriting Recognition of Tamil Characters. ICDAR 1999: 422-425
11EEK. R. K. Murthy, S. Sathiya Keerthi: Context Filters for Document-based Information Filtering. ICDAR 1999: 709-712
10 S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert: EquiDistance Diagram: A New Roadmap Method for Path Planning. ICRA 1999: 682-687
9EES. Sundararajan, S. Sathiya Keerthi: Predictive App roaches for Choosing Hyperparameters in Gaussian Processes. NIPS 1999: 631-637
1998
8EEDipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi: Synthesis of fault-tolerant feedforward neural networks using minimax optimization. IEEE Transactions on Neural Networks 9(5): 891-900 (1998)
1995
7 Vijay Chandru, Abhi Dattasharma, S. Sathiya Keerthi, N. K. Sancheti, V. Vinay: Algorithms for the Optimal Loading of Recursive Neural Nets. SODA 1995: 342-349
6EEAbhi Dattasharma, S. Sathiya Keerthi: An Augmented Voronoi Roadmap for 3D Translational Motion Planning for a Convex Polyhedron Moving Amidst Convex Polyhedral Obstacles. Theor. Comput. Sci. 140(2): 205-230 (1995)
1994
5 K. Sridharan, Harry E. Stephanou, K. C. Craig, S. Sathiya Keerthi: Distance Measures on Intersecting Objects and Their Applications. Inf. Process. Lett. 51(4): 181-188 (1994)
1993
4 Abhi Dattasharma, S. Sathiya Keerthi: Translational Motion Planning for a Convex Polyhedron in a 3D Polyhedral World Using an Efficient and New Roadmap. CCCG 1993: 449-454
3 Nukala V. R. K. N. Murthy, S. Sathiya Keerthi: Optimal Control of a Somersaulting Platform Diver: A Numerical Approach. ICRA (1) 1993: 1013-1018
2 K. Sridharan, Harry E. Stephanou, S. Sathiya Keerthi: On Computing a Distance Measure for Path Planning. ICRA (1) 1993: 554-559
1 Sudhaker Samuel, S. Sathiya Keerthi: Numerical Determination of Optimal Non-Holonomic Paths in the Presence of Obstacles. ICRA (1) 1993: 826-831

Coauthor Index

1V. David Sánchez A. [23]
2G. Phanendra Babu [13]
3Chiranjib Bhattacharyya (Chiru Bhattacharyya) [14] [17] [18]
4Aarnout Brombacher [30]
5Colin Campbell [23]
6L. J. Cao [40] [42]
7Vijay Chandru (Vijaya Chandru) [7]
8Kai-Wei Chang [54] [55]
9Olivier Chapelle [41] [44] [46] [47]
10Wei Chu [19] [20] [25] [29] [36] [39] [45] [48] [52]
11K. C. Craig [5]
12Abhi Dattasharma [4] [6] [7]
13Dennis DeCoste [35] [41]
14Dipti Deodhare [8]
15Kaibo Duan [22] [24] [29] [34] [37]
16David S. Edwin [20] [31]
17Xiu Ju Fu [40] [42]
18Zoubin Ghahramani [45]
19Elmer G. Gilbert [10] [21] [32]
20Cho-Jui Hsieh [54] [55]
21Eugene Huang [10]
22H. P. Lee [40] [42]
23David B. L. Lim [20]
24Jonathan Y. K. Lim [20] [31]
25Chih-Jen Lin [23] [26] [53] [54] [55]
26Han Tong Loh [20] [30] [31]
27Rakesh Menon [20] [30] [31]
28K. R. K. Murthy [11] [15] [17]
29Nukala V. R. K. N. Murthy [3]
30M. Narasimha Murty [13] [15]
31C. J. Ong [32]
32Chong Jin Ong [10] [19] [20] [25] [31] [40] [42]
33U. Periyathamby [42]
34A. Poo [34]
35Aun Neow Poo [22] [24] [29]
36Sudhaker Samuel [1]
37N. K. Sancheti [7]
38Lixiang Shen [20] [31]
39Shirish Krishnaj Shevade [17] [22] [27] [28] [29] [33] [34] [49] [50]
40Min Shi [20] [31]
41Keng Boon Siah [20]
42Vikas Sindhwani [43] [44] [45] [46] [47] [52]
43K. Sridharan [2] [5]
44Harry E. Stephanou [2] [5]
45S. Sundararajan [9] [16] [33] [49] [54] [55]
46C. S. Sundaresan [12]
47John A. Tomlin [51]
48P. Uvaraj [40]
49M. Vidyasagar [8]
50V. Vinay [7]
51Ruby C. Weng [53]
52J. Q. Zhang [42]
53Z. H. Zhang [32]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)