Publications of KM Borgwardt

Shervashidze, N.; Borgwardt, K.: Fast subtree kernels on graphs. In: Advances in Neural Information Processing Systems 22, pp. 1660 - 1668 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)

Stegle, O.; Denby, K.; Wild, D.; McHattie, S.; Mead, A.; Ghahramani, Z.; Borgwardt, K.: Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. In: German Conference on Bioinformatics 2009 (GCB 2009), pp. 133 - 142 (Eds. Grosse, I.; Neumann, S.; Posch, S.; Schreiber, F.; Stadler, P.). German Conference on Bioinformatics 2009 (GCB 2009), Halle, Germany, September 28, 2009 - September 30, 2009. Gesellschaft für Informatik, Bonn, Germany (2009)

Kondor, R.; Shervashidze, N.; Borgwardt, K.: The graphlet spectrum. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 529 - 536 (Eds. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, June 14, 2009 - June 18, 2009. ACM Press, New York, NY, USA (2009)

Stegle, O.; Denby, K.; Wild, D.; Ghahramani, Z.; Borgwardt, K.: A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: Research in Computational Molecular Biology: 13th Annual International Conference, RECOMB 2009, Tucson, AZ, USA, May 18-21, 2009, pp. 201 - 216 (Ed. Batzoglou, S.). 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2009), Tucson, AZ, USA, May 18, 2009 - May 21, 2009. Springer, Berlin, Germany (2009)

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)

Lippert, C.; Stegle, O.; Ghahramani, Z.; Borgwardt, K.: A kernel method for unsupervised structured network inference. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), pp. 368 - 375 (Eds. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, April 16, 2009 - April 18, 2009. MIT Press, Cambridge, MA, USA (2009)

Shervashidze, N.; Vishwanathan , S.; Petri, T.; Mehlhorn, K.; Borgwardt, K.: Efficient Graphlet Kernels for Large Graph Comparison. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), pp. 488 - 495 (Eds. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, April 16, 2009 - April 18, 2009. MIT Press, Cambridge, MA, USA (2009)

Hübler, C.; Kriegel, H.-P.; Borgwardt, K.; Ghahramani, Z.: Metropolis Algorithms for Representative Subgraph Sampling. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 283 - 292 (Eds. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 15, 2008 - December 19, 2008. IEEE, Piscataway, NJ, USA (2008)

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)

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)

Kondor, R.; Borgwardt, K.: The skew spectrum of graphs. In: ICML '08: Proceedings of the 25th international conference on Machine, pp. 496 - 503 (Eds. Cohen, W.; McCallum, A.; Roweis, S.). Twenty-Fifth International Conference on Machine Learning (ICML 2008), Helsinki, Finland, July 05, 2008 - July 08, 2008. ACM Press, New York, NY, USA (2008)

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)

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)

Vishwanathan, S.; Borgwardt, K.; Schraudolph, N.: Fast Computation of Graph Kernels. In: Advances in Neural Information Processing Systems 19, pp. 1449 - 1456 (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)

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)

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)

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)

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)

Borgwardt, K.; Kriegel, H.-P.; Vishwanathan, S.; Schraudolph, N.: Graph kernels for disease outcome prediction from protein-protein interaction networks. In: Biocomputing 2007, Proceedings of the Pacific Symposium, Maui, Hawaii, USA, 3-7 January 2007, pp. 4 - 15 (Eds. Altman, R.; Dunker, A.; Hunter, L.; Murray, T.; Klein, T.). 12. Pacific Symposium on Biocomputing (PSB 2007), Maui, HI, USA, January 03, 2007 - January 07, 2007. World Scientific, Hackensack, NJ, USA (2007)

Borgwardt, K.; Kriegel, H.-P.; Wackersreuther, P.: Pattern Mining in Frequent Dynamic Subgraphs. In: Sixth International Conference on Data Mining (ICDM'06), pp. 818 - 822. Sixth International Conference on Data Mining (ICDM 2006), Hong Kong, China, December 18, 2006 - December 22, 2006. IEEE Computer Society, Los Alamitos, CA, USA (2006)