Alex Smola
Alex Smola
Amazon Web Services
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TitleCited byYear
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 method for function approximation, regression estimation and signal processing
V Vapnik, SE Golowich, AJ Smola
Advances in neural information processing systems, 281-287, 1997
Advances in kernel methods: support vector learning
B Schölkopf, CJC Burges, AJ Smola
MIT press, 1999
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
Support vector regression machines
H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik
Advances in neural information processing systems, 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
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
Input space versus feature space in kernel-based methods
B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ...
IEEE transactions on neural networks 10 (5), 1000-1017, 1999
Introduction to machine learning
E Alpaydin
MIT press, 2014
Regularization networks and support vector machines
T Evgeniou, M Pontil, T Poggio
Advances in computational mathematics 13 (1), 1, 2000
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
A generalized representer theorem
B Schölkopf, R Herbrich, AJ Smola
International conference on computational learning theory, 416-426, 2001
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
The annals of statistics, 1171-1220, 2008
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 kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
Journal of Machine Learning Research 13 (Mar), 723-773, 2012
Correcting sample selection bias by unlabeled data
J Huang, A Gretton, K Borgwardt, B Schölkopf, AJ Smola
Advances in neural information processing systems, 601-608, 2007
Predicting time series with support vector machines
KR Müller, AJ Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik
International Conference on Artificial Neural Networks, 999-1004, 1997
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