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Dr. Keerthi is a Senior Research Scientist at Yahoo! Research Labs. Prior to joining Yahoo!, he worked for 10 years at the Indian Institute of Science, Bangalore, and for 5 years at the National University of Singapore. Over the last fifteen years his research has focused on the development of practical algorithms for a variety of areas, such as machine learning, robotics, computer graphics and optimal control. His works on support vector machines (improved SMO algorithm), polytope distance computation (GJK algorithm) and model predictive control (stability theory) are highly cited. He has published more than 100 papers in leading journals and conferences. His current research focuses on kernel methods, in particular on the development of fast kernel methods for large scale datamining problems. Dr. Keerthi is an Associate Editor for the IEEE Transactions on Automation Science and Engineering.
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论文共 19 篇作者统计合作学者相似作者
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MODpp.609-612, (2012)
CIKM '11: International Conference on Information and Knowledge Management
Glasgow
Scotland, UK
October, 2011pp.653-662, (2011)
Information Retrievalno. 3 (2010): 201-215
PODS '09: Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systemspp.1-12, (2009)
ICMLpp.408-415, (2008)
msra(2008)
引用78浏览0引用
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IEEE TRANSACTIONS ON NEURAL NETWORKSno. 6 (2007): 1826-1830
Neural Computationno. 3 (2007): 792-815
IRpp.477-484, (2006)
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