Publications of A Smola

Borgwardt, K.; Gretton, A.; Rasch, M.; Kriegel, H.-P.; Schölkopf, B.; Smola, A.: Integrating Structured Biological data by Kernel Maximum Mean Discrepancy. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil, August 06, 2006 - August 10, 2006. Bioinformatics 22 (14), pp. e49 - e57 (2006)

McAuley, J.; Caetano, T.; Smola, A.; Franz, M.: Learning High-Order MRF Priors of Color Images. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 617 - 624 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms. In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, pp. 63 - 78 (Eds. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, October 08, 2005 - October 11, 2005. Springer, Berlin, Germany (2005)

Borgwardt, K.; Guttman , O.; Vishwanathan, S.; Smola, A.: Joint Regularization. In: 13th European Symposium on Artificial Neural Networks (ESANN 2005), pp. 455 - 460 (Ed. Verleysen, M.). 13th European Symposium on Artificial Neural Networks (ESANN 2005), Brugge, Belgium, April 27, 2005 - April 29, 2005. d-side, Evere, Belgium (2005)

Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel Constrained Covariance for Dependence Measurement. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, pp. 112 - 119 (Eds. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, January 06, 2005 - January 08, 2005. The Society for Artificial Intelligence and Statistics (2005)

Altun, Y.; Hofmann, T.; Smola, A.: Gaussian Process Classification for Segmenting and Annotating Sequences. In: ICML '04: Twenty-First International Conference on Machine Learning, 4, pp. 25 - 32 (Eds. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, July 04, 2004 - July 08, 2004. ACM Press, New York, USA (2004)

Altun, Y.; Smola, A.; Hofmann, T.: Exponential Families for Conditional Random Fields. In: UAI '04: 20th Annual Conference on Uncertainty in Artificial Intelligence, pp. 2 - 9 (Eds. Meek, C.; Chickering, M.; Halpern, J.). 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, July 07, 2004 - July 11, 2004. ACM Press, New York, NY, USA (2004)

Ong, C.; Mary , X.; Cnu, S.; Smola, A.: Learning with Non-Positive Kernels. In: ICML '04: Twenty-First International Conference on Machine Learning, 81, pp. 639 - 646 (Eds. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, July 04, 2004 - July 08, 2004. ACM Press, New York, NY, USA (2004)

Ong, C.; Smola, A.; Williamson, R.: Hyperkernels. In: Advances in Neural Information Processing Systems 15, pp. 495 - 502 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)

Rätsch, G.; Smola, A.; Mika, S.: Adapting Codes and Embeddings for Polychotomies. In: Advances in Neural Information Processing Systems 15, pp. 513 - 520 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)

Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Vol. 4, pp. 880 - 883. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, April 06, 2003 - April 10, 2003. IEEE, Piscataway, NJ, USA (2003)

Schölkopf, B.; Smola, A.: A Short Introduction to Learning with Kernels. In: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002, pp. 41 - 64 (Eds. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, February 11, 2002 - February 22, 2002. Springer, Berlin, Germany (2003)

Smola, A.; Schölkopf, B.: Bayesian Kernel Methods. In: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002, pp. 65 - 117 (Eds. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, February 11, 2002 - February 22, 2002. Springer, Berlin, Germany (2003)

Schölkopf, B.; Herbrich, R.; Smola, A.: A Generalized Representer Theorem. In: Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001 Amsterdam, The Netherlands, July 16–19, 2001, pp. 416 - 426 (Eds. Helmbold, D.; Williamson, B.). 14th Annual Conference on Computational Learning Theory (COLT 2001) and 5th European Conference on Computational Learning Theory (EuroCOLT 2001), Amsterdam, The Netherlands, July 16, 2001 - July 19, 2001. Springer, Berlin, Germany (2001)

Mika, S.; Schölkopf, B.; Smola, A.: An Improved Training Algorithm for Kernel Fisher Discriminants. In: 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), pp. 98 - 104 (Eds. Richardson, T.; Jaakkola, T.). 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), Key West, FL, USA, January 04, 2001 - January 07, 2001. Society for Artificial Intelligence and Statistics (2001)

Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lemmen, C.; Smola, A.; Lengauer, T.; Müller, K.-R.: Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites. German Conference on Bioinformatics (GCB 1999), Hannover, Germany, October 04, 1999 - October 06, 1999. Bioinformatics 16 (9), pp. 799 - 807 (2000)

Chalimourda, A.; Schölkopf, B.; Smola, A.: Choosing nu in support vector regression with different noise models: theory and experiments. In: IEEE-INNS-ENNS International Joint Conference on Neural Networks: IJCNN 2000: Neural Computing: New Challenges and Perspectives for the New Millennium, pp. 199 - 204. IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, July 27, 2000. IEEE, Piscataway, NJ, USA (2000)

Smola, A.; Schölkopf, B.: Sparse greedy matrix approximation for machine learning. In: Seventeenth International Conference on Machine Learning (ICML 2000), pp. 911 - 918 (Ed. Langley, P.). Seventeenth International Conference on Machine Learning (ICML 2000), Stanford, CA, USA, June 29, 2000 - July 02, 2000. Morgan Kaufmann, San Francisco, CA, USA (2000)

Williamson, R.; Smola, A.; Schölkopf, B.: Entropy Numbers of Linear Function Classes. In: 13th Annual Conference on Computational Learning Theory (COLT 2000), p. 309 - 309 (Eds. Cesa-Bianchi, N.; Goldman, S.). 13th Annual Conference on Computational Learning Theory (COLT 2000), Palo Alto, CA, USA, June 28, 2000 - July 01, 2000. Morgan Kaufmann, an Francisco, CA, USA (2000)

Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.; Müller, K.-R.: Invariant feature extraction and classification in kernel spaces. In: Advances in Neural Information Processing Systems 12, pp. 526 - 532 (Eds. Solla, S.; Leen, T.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, November 29, 2000 - December 04, 2000. MIT Press, Cambridge, MA, USA (2000)