Publikationen von 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, 06. August 2006 - 10. August 2006. Bioinformatics 22 (14), S. 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, S. 617 - 624 (Hg. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, 25. Juni 2006 - 29. Juni 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, S. 63 - 78 (Hg. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, 08. Oktober 2005 - 11. Oktober 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), S. 455 - 460 (Hg. Verleysen, M.). 13th European Symposium on Artificial Neural Networks (ESANN 2005), Brugge, Belgium, 27. April 2005 - 29. April 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, S. 112 - 119 (Hg. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, 06. Januar 2005 - 08. Januar 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, S. 25 - 32 (Hg. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, 04. Juli 2004 - 08. Juli 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, S. 2 - 9 (Hg. Meek, C.; Chickering, M.; Halpern, J.). 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, 07. Juli 2004 - 11. Juli 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, S. 639 - 646 (Hg. Greiner, R.; Schuurmans, D.). Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Canada, 04. Juli 2004 - 08. Juli 2004. ACM Press, New York, NY, USA (2004)

Ong, C.; Smola, A.; Williamson, R.: Hyperkernels. In: Advances in Neural Information Processing Systems 15, S. 495 - 502 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 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, S. 513 - 520 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 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), Bd. 4, S. 880 - 883. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, 06. April 2003 - 10. April 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, S. 41 - 64 (Hg. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, 11. Februar 2002 - 22. Februar 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, S. 65 - 117 (Hg. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, 11. Februar 2002 - 22. Februar 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, S. 416 - 426 (Hg. 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, 16. Juli 2001 - 19. Juli 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), S. 98 - 104 (Hg. Richardson, T.; Jaakkola, T.). 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), Key West, FL, USA, 04. Januar 2001 - 07. Januar 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, 04. Oktober 1999 - 06. Oktober 1999. Bioinformatics 16 (9), S. 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, S. 199 - 204. IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 27. Juli 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), S. 911 - 918 (Hg. Langley, P.). Seventeenth International Conference on Machine Learning (ICML 2000), Stanford, CA, USA, 29. Juni 2000 - 02. Juli 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), S. 309 - 309 (Hg. Cesa-Bianchi, N.; Goldman, S.). 13th Annual Conference on Computational Learning Theory (COLT 2000), Palo Alto, CA, USA, 28. Juni 2000 - 01. Juli 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, S. 526 - 532 (Hg. Solla, S.; Leen, T.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, 29. November 2000 - 04. Dezember 2000. MIT Press, Cambridge, MA, USA (2000)