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