S V N Vishwanathan
S V N Vishwanathan
Associate Professor of Statistics and Computer Science, Purdue University
Verified email at stat.purdue.edu - Homepage
TitleCited byYear
Introduction to machine learning
E Alpaydin
MIT press, 2014
70562014
Graph kernels
SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt
Journal of Machine Learning Research 11 (Apr), 1201-1242, 2010
7882010
Protein function prediction via graph kernels
KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ...
Bioinformatics 21 (suppl_1), i47-i56, 2005
5822005
Efficient graphlet kernels for large graph comparison
N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt
Artificial Intelligence and Statistics, 488-495, 2009
5412009
Integrated sustainable life cycle design: a review
K Ramani, D Ramanujan, WZ Bernstein, F Zhao, J Sutherland, ...
Journal of Mechanical Design 132 (9), 2010
503*2010
Fast kernels for string and tree matching
SVN Vishwanathan, AJ Smola
Kernel methods in computational biology 15, 113-130, 2004
4252004
Predicting structured data
G BakIr, T Hofmann, B Schölkopf, AJ Smola, B Taskar
MIT press, 2007
4222007
Accelerated training of conditional random fields with stochastic gradient methods
SVN Vishwanathan, NN Schraudolph, MW Schmidt, KP Murphy
Proceedings of the 23rd international conference on Machine learning, 969-976, 2006
3752006
Introduction to machine learning
A Smola, SVN Vishwanathan
Cambridge University, UK 32, 34, 2008
3592008
Deep graph kernels
P Yanardag, SVN Vishwanathan
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
3182015
Bundle methods for regularized risk minimization
CH Teo, SVN Vishwanthan, AJ Smola, QV Le
Journal of Machine Learning Research 11 (Jan), 311-365, 2010
2752010
Kernel Methods for Missing Variables.
AJ Smola, SVN Vishwanathan, T Hofmann
AISTATS, 2005
2502005
Multiple kernel learning and the SMO algorithm
Z Sun, N Ampornpunt, M Varma, S Vishwanathan
Advances in neural information processing systems, 2361-2369, 2010
2002010
Hash kernels for structured data
Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan
Journal of Machine Learning Research 10 (Nov), 2615-2637, 2009
1972009
A scalable modular convex solver for regularized risk minimization
CH Teo, A Smola, SVN Vishwanathan, QV Le
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
1962007
Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
SVN Vishwanathan, AJ Smola, R Vidal
International Journal of Computer Vision 73 (1), 95-119, 2007
1632007
Bundle methods for machine learning
QV Le, AJ Smola, S Vishwanathan
Advances in neural information processing systems, 1377-1384, 2008
1562008
SimpleSVM
SVN Vishwanathan, AJ Smola, MN Murty
Proceedings of the Twentieth International Conference on International …, 2003
1502003
Large scale max-margin multi-label classification with priors
B Hariharan, L Zelnik-Manor, M Varma, S Vishwanathan
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
1442010
Fast computation of graph kernels
SVN Vishwanathan, KM Borgwardt, NN Schraudolph
NIPS 19, 131-138, 2006
1432006
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