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ORCIDS. V. N. Vishwanathan
- > Home > Persons > S. V. N. Vishwanathan
Publications
- 2012
[c51]Shin Matsushima, S. V. N. Vishwanathan, Alexander J. Smola:
Linear support vector machines via dual cached loops. KDD 2012: 177-185- [c49]Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola:
Fair and balanced: learning to present news stories. WSDM 2012: 333-342 - 2010
- [j10]Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola, Quoc V. Le:
Bundle Methods for Regularized Risk Minimization. J. Mach. Learn. Res. 11: 311-365 (2010) - [c39]Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson:
Multitask Learning without Label Correspondences. NIPS 2010: 1957-1965 - 2009
- [j7]Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, S. V. N. Vishwanathan:
Hash Kernels for Structured Data. J. Mach. Learn. Res. 10: 2615-2637 (2009) - [c33]Qinfeng Shi
, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan:
Hash Kernels. AISTATS 2009: 496-503 - 2007
- [j6]S. V. N. Vishwanathan, Alexander J. Smola, René Vidal:
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes. Int. J. Comput. Vis. 73(1): 95-119 (2007) - [c28]Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan:
Semi-Markov Models for Sequence Segmentation. EMNLP-CoNLL 2007: 640-648 - [c25]Choon Hui Teo, Alexander J. Smola, S. V. N. Vishwanathan, Quoc V. Le:
A scalable modular convex solver for regularized risk minimization. KDD 2007: 727-736 - [c23]Alexander J. Smola, S. V. N. Vishwanathan, Quoc V. Le:
Bundle Methods for Machine Learning. NIPS 2007: 1377-1384 - 2006
- [j4]S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola:
Kernel extrapolation. Neurocomputing 69(7-9): 721-729 (2006) - [j3]S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola:
Step Size Adaptation in Reproducing Kernel Hilbert Space. J. Mach. Learn. Res. 7: 1107-1133 (2006) - 2005
- [j2]Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay:
Boîte à outils SVM simple et rapide. Rev. d'Intelligence Artif. 19(4-5): 741-767 (2005) - [c15]Alexander J. Smola, S. V. N. Vishwanathan, Thomas Hofmann:
Kernel Methods for Missing Variables. AISTATS 2005 - [c12]Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola:
Joint Regularization. ESANN 2005: 455-460 - [c11]Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel:
Protein function prediction via graph kernels. ISMB (Supplement of Bioinformatics) 2005: 47-56 - [c10]Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola:
Step size-adapted online support vector learning. ISSPA 2005: 823-826 - [c9]Thomas Gärtner, Quoc V. Le, Simon Burton, Alexander J. Smola, S. V. N. Vishwanathan:
Large-Scale Multiclass Transduction. NIPS 2005: 411-418 - [c8]Zhenghua Yu, S. V. N. Vishwanathan, Alex Smola:
NICTA at TRECVID 2005 Shot Boundary Detection Task. TRECVID 2005 - 2004
- [c7]S. V. N. Vishwanathan, Alexander J. Smola:
Binet-Cauchy Kernels. NIPS 2004: 1441-1448 - 2003
- [c6]S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty:
SimpleSVM. ICML 2003: 760-767 - [c5]Alexander J. Smola, Vishy Vishwanathan, Eleazar Eskin:
Laplace Propagation. NIPS 2003: 441-448 - 2002
- [c2]S. V. N. Vishwanathan, Alexander J. Smola:
Fast Kernels for String and Tree Matching. NIPS 2002: 569-576
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