Alex Smola
Alex Smola
Amazon Web Services
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Cited by
Cited by
Learning with kernels: Support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola
the MIT Press, 2002
A tutorial on support vector regression
AJ Smola, B Schölkopf
Statistics and computing 14 (3), 199-222, 2004
Nonlinear component analysis as a kernel eigenvalue problem
B Schölkopf, A Smola, KR Müller
Neural computation 10 (5), 1299-1319, 1998
Estimating the support of a high-dimensional distribution
B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
Neural computation 13 (7), 1443-1471, 2001
Support vector regression machines
H Drucker, CJC Burges, L Kaufman, A Smola, V Vapnik
Advances in neural information processing systems 9, 155-161, 1997
Support vector machines
MA Hearst, ST Dumais, E Osuna, J Platt, B Scholkopf
IEEE Intelligent Systems and their applications 13 (4), 18-28, 1998
Support vector method for function approximation, regression estimation, and signal processing
V Vapnik, SE Golowich, A Smola
Advances in neural information processing systems, 281-287, 1997
Hierarchical attention networks for document classification
Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy
Proceedings of the 2016 conference of the North American chapter of the …, 2016
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
Advances in kernel methods: support vector learning
R Soentpiet
MIT press, 1999
A kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
The Journal of Machine Learning Research 13 (1), 723-773, 2012
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
Z Zhang, H Zha
SIAM journal on scientific computing 26 (1), 313-338, 2004
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
The annals of statistics 36 (3), 1171-1220, 2008
Regularization networks and support vector machines
T Evgeniou, M Pontil, T Poggio
Advances in computational mathematics 13 (1), 1-50, 2000
Support vector method for novelty detection.
B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt
NIPS 12, 582-588, 1999
kernlab-an S4 package for kernel methods in R
A Karatzoglou, A Smola, K Hornik, A Zeileis
Journal of statistical software 11 (9), 1-20, 2004
A generalized representer theorem
B Schölkopf, R Herbrich, AJ Smola
International conference on computational learning theory, 416-426, 2001
Pairwise classification and support vector machines
UHG Krebel
Advances in kernel methods: support vector learning, 255-268, 1999
Correcting sample selection bias by unlabeled data
J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola
Advances in neural information processing systems 19, 601-608, 2006
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