Publications of AJ Smola

Smola, A.; Murata, N.; Schölkopf, B.; Müller, K.-R.: Asymptotically Optimal Choice of ε-Loss for Support Vector Machines. In: ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998, pp. 105 - 110 (Eds. Niklasson, L.; Bodén, M.; Ziemke, T.). 8th International Conference on Artificial Neural Networks (ICANN 1998), Skövde, Sweden, September 02, 1998 - September 04, 1998. Springer, London, UK (1998)

Smola, A.; Schölkopf, B.; Müller, K.-R.: Convex Cost Functions for Support Vector Regression. In: ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998, pp. 99 - 104 (Eds. Niklasson, L.; Bodén, M.; Ziemke, T.). 8th International Conference on Artificial Neural Networks (ICANN 1998), Skövde, Sweden, September 02, 1998 - September 04, 1998. Springer, London, UK (1998)

Schölkopf, B.; Simard, P.; Smola, A.; Vapnik, V.: Prior knowledge in support vector kernels. In: Advances in Neural Information Processing Systems 10, pp. 640 - 646 (Eds. Jordan, M.; Kearns, M.; Solla, S.). Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Denver, CO, USA, December 01, 1997 - December 06, 1997. MIT Press, Cambridge, MA, USA (1998)

Smola, A.; Schölkopf, B.: From regularization operators to support vector kernels. In: Advances in Neural Information Processing Systems 10, pp. 343 - 349 (Eds. Jordan, M.; Kearns, M.; Solla, S.). Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Denver, CO, USA, December 01, 1997 - December 06, 1997. MIT Press, Cambridge, MA, USA (1998)

Schölkopf, B.; Smola, A.; Müller, K.-R.; Burges, C.; Vapnik, V.: Support Vector methods in learning and feature extraction. In: Ninth Australian Conference on Neural Networks (ACNN 1998), pp. 72 - 78 (Eds. Downs, T.; Frean, M.; Gallagher, M.). Ninth Australian Conference on Neural Networks (ACNN 1998), Brisbane, Australia, February 11, 1998 - February 13, 1998. St. Lucia (1998)

Smola, A.; Schölkopf, B.; Müller, K.-R.: General cost functions for support vector regression. In: Ninth Australian Conference on Neural Networks (ACNN 1998), pp. 79 - 83 (Eds. Downs, T.; Frean, M.; Gallagher, M.). Ninth Australian Conference on Neural Networks (ACNN 1998), Brisbane, Australia, February 11, 1998 - February 13, 1998. St. Lucia (1998)

Müller, K.-R.; Smola, A.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.: Predicting time series with support vector machines. In: Artificial Neural Networks — ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997, pp. 999 - 1004 (Eds. Gerstner, W.; Germond, A.; Hasler, M.; Nicoud, J.-D.). 7th International Conference on Artificial Neural Networks (ICANN 1997), Lausanne, Switzerland, October 08, 1997 - October 10, 1997. Springer, Berlin, Germany (1997)

Schölkopf, B.; Smola, A.; Müller, K.-R.: Kernel principal component analysis. In: Artificial Neural Networks - ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997, pp. 583 - 588 (Eds. Gerstner, W.; Germond, A.; Hasler, M.; Nicoud, J.-D.). 7th International Conference on Artificial Neural Networks (ICANN 1997), Lausanne, Switzerland, October 08, 1997 - October 10, 1997. Springer, Berlin, Germany (1997)

Vishwanathan, S.; Guttman, O.; Borgwardt, K.; Smola, A.: Kernel Extrapolations for Enzyme Classification. In NIPS 2004 Workshop on New Problems and Methods in Computational Biology (MLCB 2004). NIPS 2004 Workshop on New Problems and Methods in Computational Biology (MLCB 2004), Vancouver, Canada. (2004)

Smola, A.; Gretton, A.; Fukumizu, K.: Painless Embeddings of Distributions: the Function Space View. 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland (2008)

Gretton, A.; Borgwardt, K.; Fukumizu, K.; Rasch, M.; Schölkopf, B.; Smola, A.; Song , L.; Teo, C.: Hilbert Space Representations of Probability Distributions. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)

Schölkopf, B.; Smola, A.: Learning with Kernels. Machine Learning Summer School (MLSS 2007), Tübingen, Germany (2007)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based dependence detection in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based measures of dependence in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Schölkopf, B.; Williamson, R.; Smola, A.; Shawe-Taylor, J.: Single-class Support Vector Machines. Dagstuhl-Seminar 99121: Unsupervised Learning, Dagstuhl, Germany (1999)

Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-sample Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 157). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 44 pp.

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 pp.

Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 91 pp.

Schölkopf, B.; Platt, J.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Estimating the support of a high-dimensional distribution. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2000), 30 pp.

Schölkopf, B.; Platt, J.; Smola, A.: Kernel method for percentile feature extraction. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2000)