Publikationen von AJ Smola
Alle Typen
Buch (2)
21.
Buch
Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 S.
Buchkapitel (6)
22.
Buchkapitel
Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, S. 131 - 160 (Hg. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)
23.
Buchkapitel
Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, S. 283 - 300 (Hg. 24.
Buchkapitel
8, 2. Aufl., S. 5328 - 5335 (Hg. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)
Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Bd. 25.
Buchkapitel
Support Vector Machines. In: Handbook of Brain Theory and Neural Networks, 2. Aufl., S. 1119 - 1125 (Hg. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)
26.
Buchkapitel
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Natural Regularization from Generative Models. In: Advances in Large Margin Classifiers, S. 51 - 60 (Hg. 27.
Buchkapitel
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Robust ensemble learning. In: Advances in Large Margin Classifiers, S. 207 - 220 (Hg. Konferenzband (1)
28.
Konferenzband
Advances in Kernel Methods: Support Vector Learning. Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Breckenridge, CO, USA, 01. Dezember 1997 - 06. Dezember 1997. MIT Press, Cambridge, MA, USA (1999), 376 S.
Konferenzbeitrag (60)
29.
Konferenzbeitrag
Near-optimal supervised feature selection among frequent subgraphs. In: 9th SIAM Conference on Data Mining (SDM 2009), S. 1076 - 1087 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). 9th SIAM Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics (2009)
30.
Konferenzbeitrag
A Kernel Statistical Test of Independence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 585 - 592 (Hg. Platt, J.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
31.
Konferenzbeitrag
Colored Maximum Variance Unfolding. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1385 - 1392 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
32.
Konferenzbeitrag
Combining near-optimal feature selection with gSpan. In: 6th International Workshop on Mining and Learning with Graphs (MLG 2008), S. 1 - 3. 6th International Workshop on Mining and Learning with Graphs (MLG 2008), Helsinki, Finland, 04. Juli 2008 - 05. Juli 2008. (2008)
33.
Konferenzbeitrag
Tailoring density estimation via reproducing kernel moment matching. In: ICML '08: Proceedings of the 25th international conference on Machine learning, S. 992 - 999 (Hg. Cohen, W.; McCallum, A.; Roweis, S.). 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, 05. Juli 2008 - 08. Juli 2008. ACM Press, New York, NY, USA (2008)
34.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, S. 513 - 520 (Hg. 35.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, S. 601 - 608 (Hg. 36.
Konferenzbeitrag
A scalable modular convex solver for regularized risk minimization. In: KDD '07: 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, S. 727 - 736 (Hg. Berkhin, P.; Caruana, R.; Wu, X.). 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '07), San Jose, CA, USA, 12. August 2007 - 15. August 2007. ACM Press, New York, NY, USA (2007)
37.
Konferenzbeitrag
A Kernel Approach to Comparing Distributions. In: Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), S. 1637 - 1641. Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), Vancouver, BC, Canada, 22. Juli 2007 - 26. Juli 2007. AAAI Press, Menlo Park, CA, USA (2007)
38.
Konferenzbeitrag
23 (13: ISMB/ECCB 2007 Conference Proceedings), S. i490 - i498 (2007)
Gene selection via the BAHSIC family of algorithms. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria, 21. Juli 2007 - 25. Juli 2007. Bioinformatics 39.
Konferenzbeitrag
A Dependence Maximization View of Clustering. In: ICML '07: 24th International Conference on Machine Learning, S. 815 - 822 (Hg. Ghahramani, Z.). Twenty-Fourth Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)
40.
Konferenzbeitrag
Supervised Feature Selection via Dependence Estimation. In: ICML '07: 24th International Conference on Machine Learning, S. 823 - 830 (Hg. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)