S. V. N. Vishwanathan

Author

Also Known As

James Petterson, Kevin Farrell, Neven, Hartmut, S V N Vishwanathan, S. V. N. VISHWANATHAN, S. V. N. Vishwanathan, S. V.N. Vishwanathan, S. Vishwanathan, S.V N. Vishwanathan, S.V. N. Vishwanathan

147

Publications

8.1K

Citations

H-Index

111

Concepts

All Affiliations

Purdue University West Lafayette Data61 Australian National University University of California, Santa Cruz Amazon (United States)

About

S. V. N. Vishwanathan is an author at Purdue University West Lafayette specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	38	4.2K
2	Business	3	3	1.1K
3	Language Studies	2	2	82
4	Arts	1	1	29
5	Health Sciences	1	1	16

S. V. N. Vishwanathan

Publications

7.2K

Citations

H-Index

Page 1

	Year	Citations
Protein function prediction via graph kernels Karsten Borgwardt, Cheng Soon Ong, Stefan Schönauer, Computer applications in the biosciences	2005	1.1K
Deep Graph Kernels Pinar Yanardag, S. V. N. Vishwanathan Natural Language ProcessingPopular Graph KernelsGraph Neural NetworkEngineeringGraph Theory	2015	1K
Efficient Graphlet Kernels for Large Graph Comparison Nino Sherashidze, S. V. N. Vishwanathan, Tobias Petri, MPG.PuRe (Max Planck Society)	2009	699
Graph Kernels S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Spectral TheoryGraph SparsityEngineeringGraph TheoryData Science	2010	663
Accelerated training of conditional random fields with stochastic gradient methods S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark Schmidt, Artificial IntelligenceStructured PredictionEngineeringMachine LearningMeta-learning	2006	284
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan, IEEE Transactions on Knowledge and Data Engineering Artificial IntelligencePrivacy ProtectionAutonomous Online LearningEngineeringMachine Learning	2013	264
Kernel methods for missing variables Alexander J. Smola, S. V. N. Vishwanathan, Thomas Hofmann	2005	254
Hash Kernels for Structured Data Qinfeng Shi, James Petterson, Gideon Dror, ANU Open Research (Australian National University)	2009	210
A scalable modular convex solver for regularized risk minimization Choon Hui Teo, Alex Smola, S. V. N. Vishwanathan, Mathematical ProgrammingEngineeringMachine LearningSupport Vector MachineData Science	2007	178
Multiple Kernel Learning and the SMO Algorithm Zhaonan Sun, Nawanol Ampornpunt, Manik Varma, Neural Information Processing Systems Mathematical ProgrammingModel OptimizationMultiple Kernel LearningSupport Vector MachineEngineering	2010	157

Page 1