Publications of V Vapnik

Corfield, D.; Schölkopf, B.; Vapnik, V.: Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions. Journal for General Philosophy of Science 40 (1), pp. 51 - 58 (2009)

Schölkopf, B.; Sung , K.; Burges , C.; Girosi, F.; Niyogi, P.; Poggio, T.; Vapnik, V.: Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45 (11), pp. 2758 - 2765 (1997)

Weston, J.; Collobert, R.; Sinz, F.; Bottou, L.; Vapnik, V.: Inference with the Universum. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 1009 - 1016 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation. In: Advances in Neural Information Processing Systems 15, pp. 873 - 880 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)

Weston, J.; Mukherjee, S.; Chapelle, O.; Pontil , M.; Poggio, T.; Vapnik, V.: Feature Selection for SVMs. In: Advances in Neural Information Processing Systems 13, pp. 668 - 674 (Eds. Leen, T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, November 27, 2000 - December 02, 2000. MIT Press, Cambridge, MA, USA (2001)

Chapelle, O.; Vapnik, V.: Model Selection for Support Vector Machines. In: Advances in Neural Information Processing Systems 12, pp. 230 - 236 (Eds. Solla, S.; Leen, T.; Müller, K.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, November 29, 2000 - December 04, 2000. MIT Press, Cambridge, MA, USA (2000)

Müller, K.-R.; Smola, A.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.: Using support vector machines for time series prediction. In: Advances in kernel methods: support vector learning, pp. 243 - 253 (Eds. Schölkopf, B.; Burges, C.; Smola, A.). Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Breckenridge, CO, USA, December 01, 1997 - December 06, 1997. MIT Press, Cambridge, MA, USA (1999)

Schölkopf, B.; Simard, P.; Smola, A.; Vapnik, V.: Prior knowledge in support vector kernels. In: Advances in Neural Information Processing Systems 10, pp. 640 - 646 (Eds. Jordan, M.; Kearns, M.; Solla, S.). Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Denver, CO, USA, December 01, 1997 - December 06, 1997. MIT Press, Cambridge, MA, USA (1998)

Schölkopf, B.; Smola, A.; Müller, K.-R.; Burges, C.; Vapnik, V.: Support Vector methods in learning and feature extraction. In: Ninth Australian Conference on Neural Networks (ACNN 1998), pp. 72 - 78 (Eds. Downs, T.; Frean, M.; Gallagher, M.). Ninth Australian Conference on Neural Networks (ACNN 1998), Brisbane, Australia, February 11, 1998 - February 13, 1998. St. Lucia (1998)

Müller, K.-R.; Smola, A.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.: Predicting time series with support vector machines. In: Artificial Neural Networks - ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997, pp. 999 - 1004 (Eds. Gerstner, W.; Germond, A.; Hasler, M.; Nicoud, J.-D.). 7th International Conference on Artificial Neural Networks (ICANN 1997), Lausanne, Switzerland, October 08, 1997 - October 10, 1997. Springer, Berlin, Germany (1997)

Blanz, V.; Schölkopf, B.; Bülthoff, H.; Burges, C.; Vapnik, V.; Vetter, T.: Comparison of view-based object recognition algorithms using realistic 3D models. In: Artificial Neural Networks: ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996, pp. 251 - 256 (Eds. von der Malsburg, C.; von Seelen, W.; Vorbrüggen, J.; Sendhoff, B.). 6th International Conference on Artificial Neural Networks (ICANN 1996), Bochum, Germany, July 16, 1996 - July 19, 1996. Springer, Berlin, Germany (1996)

Schölkopf, B.; Burges, C.; Vapnik, V.: Incorporating invariances in support vector learning machines. In: Artificial Neural Networks: ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996, pp. 47 - 52 (Eds. von der Malsburg, C.; von Seelen, W.; Vorbrüggen, J.; Sendhoff, B.). 6th International Conference on Artificial Neural Networks (ICANN 1996), Bochum, Germany, July 16, 1996 - July 19, 1996. Springer, Berlin, Germany (1996)

Schölkopf, B.; Burges, C.; Vapnik, V.: Extracting support data for a given task. In: First International Conference on Knowledge Discovery & Data Mining (KDD-95), pp. 252 - 257 (Eds. Fayyad, U.; Uthurusamy, R.). First International Conference on Knowledge Discovery & Data Mining (KDD 1995), Montréal, Canada, August 20, 1995 - August 21, 1995. AAAI Press, Menlo Park, CA, USA (1995)

Corfield, D.; Schölkopf, B.; Vapnik, V.: Popper, Falsification and the VC-dimension (Technical Report of the Max Planck Institute for Biological Cybernetics, 145). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 5 pp.

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 98). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 pp.

Vapnik, V.; Burges, C.; Schölkopf, B.: A New Method for Constructing Artificial Neural Networks. AT & T, Bell Laboratories, Murray Hill, NJ, USA (1995)