PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Alex Smola

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Number of EPrints submitted by this user: 22

Learning the Kernel with Hyperkernels
Cheng Soon Ong, Alex Smola and Bob Williamson
Journal of Machine Learning Research Volume 6, pp. 1045-1071, 2005.

Kernel methods for testing independence
Arthur Gretton, Ralf Herbrich, Alex Smola, Olivier Bousquet and Bernhard Schölkopf
Journal of Machine Learning Research 2005.

Kernel extrapolation
S V N Vishwanathan, K. M. Borgwardt, Omri Guttman and Alex Smola
Neurocomputing pp. 1-18, 2006.

Kernel methods and the exponential family
Stéphane Canu and Alex Smola
Neurocomputing pp. 1-11, 2006.

Heteroscedastic gaussian process regression
quoc le, Alex Smola and Stéphane Canu
In: ICML 2005, July 2005, Bonn.

Binet-Cauchy kernels
S V N Vishwanathan and Alex Smola
In: NIPS 2004, December 2004, Vancouver, Canada.

Measuring statistical dependence with hilbert-schmidt norms
Arthur Gretton, Olivier Bousquet, Alex Smola and Bernhard Schölkopf
In: ALT 2005, October 2005, Singapore.

Kernel methods for missing variables
Alex Smola, S V N Vishwanathan and Thomas Hofmann
In: AISTATS 2005, January 2005, Barbados.

Kernel constrained covariance for dependence measurement
Arthur Gretton, Alex Smola, Olivier Bousquet, Ralf Herbrich, Andreas Belitski, M Augath, Y Murayama, J Pauls, Bernhard Schölkopf and Nikos Logothetis
In: AISTATS 2005, January 2005, Barbados.

Protein function prediction via graph kernels
Karsten Borgwardt, Cheng Soon Ong, Stefan Schonauer, S V N Vishwanathan, Alex Smola and Hans-Peter Kriegel
In: ISMB 2005, June 2005, Detroit.

A second order cone programming formulation for classifying missing data
Chiranjib Bhattacharyya, K.S. Pannagadatta and Alex Smola
In: NIPS 2004, December 2004, Vancouver.

Online learning with kernels
Jyrki Kivinen, Alex Smola and Bob Williamson
IEEE Transactions on Signal Processing Volume 52, Number 8, 2004.

Fast kernels for string and tree matching
S V N Vishwanathan and Alex Smola
In: Kernels and Bioinformatics (2004) MIT Press , Cambridge, MA, USA .

A tutorial on support vector regression
Alex Smola and Bernhard Schölkopf
Statistics and Computing Volume 14, Number 3, pp. 199-222, 2004.

Large-scale multiclass transduction
Thomas Gaertner, quoc le, Simon Burton, Alex Smola and S V N Vishwanathan
In: NIPS 2005, December 2005, Vancouver.

Predicting Structured Data
G.H. Bakir, B. Taskar, T. Hofmann, Bernhard Schölkopf, Alex Smola and S V N Vishwanathan, ed. (2007) MIT Press . ISBN 0-262-02617-1

Density estimation of Structured Outputs in RKHS
Y. Altun and Alex Smola
In: Predicting Structured Data (2007) MIT Press . ISBN 0-262-02617-1

A scalable modular convex solver for regularized risk minimization
Choon Hui Teo, Alex Smola and S V N Vishwanathan
In: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007) Association for Computing Machinery , San Jose, California, USA , pp. 727-736. ISBN 978-1-59593-609-7

Kernel Methods in Machine Learning
Alex Smola, T Hofmann and Bernhard Schölkopf
Annals of Statistics 2007.

Learning Graph Matching
Alex Smola, Tiberio Caetano, Li Cheng and quoc le
International Conference on Computer Vision pp. 1-8, 2007. ISSN 1550-5499

Semi-Markov Models for Sequence Segmentation
Qinfeng Shi, Yasemin Altun, Alex Smola and S V N Vishwanathan
In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (2007) Association for Computational Linguistics , Prague, Czech Republic , pp. 640-648.

A Hilbert Space Embedding for Distributions
Alex Smola, Arthur Gretton, Le Song and Bernhard Schölkopf
In: Algorithmic Learning Theory Lecture Notes in Computer Science , 4754 . (2007) Springer Berlin/Hidelberg , Sendai, Japan , pp. 13-31. ISBN 978-3-540-75224-0