Publications of B Schölkopf

Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. In: Advances in Neural Information Processing Systems 19, pp. 273 - 280 (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)

Wu, M.; Schölkopf, B.: A Local Learning Approach for Clustering. In: Advances in Neural Information Processing Systems 19, pp. 1529 - 1536 (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)

Zhou, D.; Huang, J.; Schölkopf, B.: Learning with Hypergraphs: Clustering, Classification, and Embedding. In: Advances in Neural Information Processing Systems 19, pp. 1601 - 1608 (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)

Sun, X.; Janzing, D.; Schölkopf, B.; Fukumizu, K.: A Kernel-Based Causal Learning Algorithm. In: ICML '07: 24th International Conference on Machine Learning, pp. 855 - 862 (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)

Wu, M.; Yu , K.; Yu, S.; Schölkopf, B.: Local Learning Projections. In: ICML '07: 24th International Conference on Machine Learning, pp. 1039 - 1046 (Ed. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)

Sun, X.; Janzing, D.; Schölkopf, B.: Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, pp. 441 - 446 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side Publications, Evere, Belgium (2007)

Wu, M.; Schölkopf, B.: Transductive Classification via Local Learning Regularization. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 628 - 635 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)

Farquhar, J.; Hill, N.; Lal, T.; Schölkopf, B.: Regularised CSP for Sensor Selection in BCI. In: 3rd International Brain-Computer Interface Workshop and Training Course 2006, pp. 14 - 15 (Ed. Müller-Putz, G.). 3rd International Brain-Computer Interface Workshop and Training Course 2006, Graz, Austria, September 21, 2006 - September 24, 2006. Verlag der Technischen Universität Graz, Graz, Austria (2006)

Hill, N.; Farquhar, J.; Lal, T.; Schölkopf, B.: Time-Dependent Demixing of Task-Relevant EEG Signals. In: 3rd International Brain-Computer Interface Workshop and Training Course 2006, pp. 20 - 21 (Ed. Müller-Putz, G.). 3rd International Brain-Computer Interface Workshop and Training Course 2006, Graz, Austria, September 21, 2006 - September 24, 2006. Verlag der Technischen Universität Graz, Graz, Austria (2006)

Hill, N.; Lal, T.; Schröder, M.; Hinterberger, T.; Widman, G.; Elger, C.; Schölkopf, B.; Birbaumer, N.: Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals. In: Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, pp. 404 - 413 (Eds. Franke, K.; Müller, K.-R.; Nickolay, B.; Scäfer, R.). 28th Annual Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany, September 12, 2006 - September 14, 2006. Springer, Berlin, Germany (2006)

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, August 06, 2006 - August 10, 2006. Bioinformatics 22 (14), pp. e49 - e57 (2006)

Kienzle, W.; Wichmann, F.; Schölkopf, B.; Franz, M.: Learning an Interest Operator from Human Eye Movements. In: 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 24, pp. 1 - 8 (Eds. Schmid, C.; Soatto, S.; Tomasi, C.). Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2006), New York, NY, USA, June 17, 2006 - June 22, 2006. IEEE, Piscataway, NJ, USA (2006)

Steinke, F.; Schölkopf, B.: Machine Learning Methods For Estimating Operator Equations. In: IFAC Proceedings Volumes, Vol. 39, pp. 1192 - 1197. 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29, 2006 - March 31, 2006. Elsevier, Oxford, United Kingdom (2006)

Quinonero Candela, J.; Rasmussen, C.; Sinz, F.; Bousquet, O.; Schölkopf, B.: Evaluating Predictive Uncertainty Challenge. In: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, pp. 1 - 27 (Eds. Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d’Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, April 11, 2005 - April 13, 2005. Springer, Berlin, Germany (2006)

Sun, X.; Janzing, D.; Schölkopf, B.: Causal Inference by Choosing Graphs with Most Plausible Markov Kernels. In: Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), pp. 1 - 11. Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), Fort Lauderdale, FL, USA, January 04, 2005 - January 06, 2005. (2006)

Kienzle, W.; Schölkopf, B.: Training Support Vector Machines with Multiple Equality Constraints. In: Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, pp. 182 - 193 (Eds. Gama, J.; Camacho, R.; Brazdil, P.; Jorge, A.; Torgo, L.). 16th European Conference on Machine Learning (ECML 2005), Porto, Portugal, October 03, 2005 - October 07, 2005. Springer, Berlin, Germany (2005)

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, pp. 63 - 78 (Eds. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, October 08, 2005 - October 11, 2005. Springer, Berlin, Germany (2005)

Steinke, F.; Schölkopf, B.; Blanz, V.: Support Vector Machines for 3D Shape Processing. 26th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2005), Dublin, Ireland, August 29, 2005 - September 02, 2005. Computer Graphics Forum 24 (3), pp. 285 - 294 (2005)

Tsuda, K.; Shin, H.; Schölkopf, B.: Fast Protein Classification with Multiple Networks. Fourth European Conference on Computational Biology / Sixth Meeting of the Spanish Bioinformatics Network (ECCB/JBI 2005), Madrid, Spain, September 28, 2005 - October 01, 2005. Bioinformatics 21 (Supplement 2), pp. 59 - 65 (2005)