Search results

Book (2)

21.
Book
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.: Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 pp.

Book Chapter (6)

22.
Book Chapter
Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: 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
Altun, Y.; Smola, A.: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, pp. 283 - 300 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
24.
Book Chapter
Schölkopf, B.; Smola, A.: Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Vol. 8, 2. Ed., pp. 5328 - 5335 (Eds. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)
25.
Book Chapter
Schölkopf, B.; Smola, A.: Support Vector Machines. In: Handbook of Brain Theory and Neural Networks (sec. ed.), 2. Ed., pp. 1119 - 1125 (Ed. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)
26.
Book Chapter
Oliver, N.; Schölkopf, B.; Smola, A.: Natural Regularization from Generative Models. In: Advances in Large Margin Classifiers, pp. 51 - 60 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
27.
Book Chapter
Rätsch, G.; Schölkopf, B.; Mika, S.; Onoda, T.; Smola, A.; Müller, K.-R.: Robust ensemble learning. In: Advances in Large Margin Classifiers, pp. 207 - 220 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

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
Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: 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
Gretton, A.; Fukumizu, K.; Teo, C.; Song , L.; Schölkopf, B.; Smola, A.: 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
Song, L.; Smola, A.; Borgwardt, K.; Gretton, A.: 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
Borgwardt, K.; Yan, X.; Thoma, M.; Cheng, H.; Gretton, A.; Song, L.; Smola, A.; Han, J.; Hu, P.; Kriegel, H.-P.: 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
Song, L.; Zhang, X.; Smola, A.; Gretton, A.; Schölkopf, B.: 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
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, pp. 513 - 520 (Eds. 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)
35.
Conference Paper
Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Schölkopf, B.: Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, pp. 601 - 608 (Eds. 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)
36.
Conference Paper
Teo, C.; Smola, A.; Vishwanathan, S.; Le, Q.: 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
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: 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
Song, L.; Bedo, J.; Borgwardt, K.; Gretton, A.; Smola, A.: 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 23 (13: ISMB/ECCB 2007 Conference Proceedings), pp. i490 - i498 (2007)
39.
Conference Paper
Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.: 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
Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.; Bedo, J.: 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)
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