Suchergebnisse

Buchkapitel (26)

141.
Buchkapitel
Schölkopf, B.: Künstliches Lernen. In: Komplexe adaptive Systeme, S. 93 - 117 (Hg. Bornholdt, S.; Feindt, P.). Röll, Dettelbach, Germany (1996)

Konferenzband (8)

142.
Konferenzband
Causality: Objectives and Assessment. NIPS 2008 Workshop: Causality: Objectives and Assessment , Whistler, BC, Canada, 12. Dezember 2008. (2010)
143.
Konferenzband
Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference. Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2007 - 07. Dezember 2007. (2007), 1690 S.
144.
Konferenzband
Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference. Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, 05. Dezember 2005 - 08. Dezember 2005. MIT Press, Cambridge, MA, USA (2006), 1676 S.
145.
Konferenzband
Pattern Recognition: 26th DAGM Symposium: Tübingen, Germany, August 30 - September 1, 2004 (Lecture Notes in Computer Science, 3175). 26th Pattern Recognition Symposium, Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004), 581 S.
146.
Konferenzband
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004), 1621 S.
147.
Konferenzband
Learning theory and Kernel machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003) (Lecture Notes in Computer Science, 2777). 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Washington, DC, USA, 24. August 2003 - 27. August 2003. Springer, Berlin, Germany (2003), 746 S.
148.
Konferenzband
Inference Principles and Model Selection (Dagstuhl Reports, 01301). Inference Principles and Model Selection: Dagstuhl Seminar 01301, Dagstuhl, Germany, 23. Juli 2001 - 27. Juli 2001. Leibniz-Zentrum für Informatik, Dagstul, Germany (2001)
149.
Konferenzband
Advances in Kernel Methods: Support Vector Learning. Eleventh Annual Conference on Neural Information Processing (NIPS 1997), Breckenridge, CO, USA, 01. Dezember 1997 - 06. Dezember 1997. MIT Press, Cambridge, MA, USA (1999), 376 S.

Konferenzbeitrag (211)

150.
Konferenzbeitrag
Gondal, M.; Wuthrich, M.; Miladinovic, D.; Locatello, F.; Breidt, M.; Volchkov, V.; Akpo, J.; Bachem, O.; Schölkopf, B.; Bauer, S.: On the Transfer of Inductive Biasfrom Simulation to the Real World: a New Disentanglement Dataset. In: Advances in Neural Information Processing Systems 32, S. 15661 - 15672 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc, F.; Fox, E. et al.). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09. Dezember 2019 - 13. Dezember 2019. Curran, Red Hook, NY, USA (2020)
151.
Konferenzbeitrag
Geiger, P.; Besserve, M.; Winkelmann, J.; Proissl, C.; Schölkopf, B.: Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. In: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), 49, S. 286 - 295. 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel, 22. Juli 2019 - 25. Juli 2019. Curran, Red Hook, NY, USA (2019)
152.
Konferenzbeitrag
Gresele, L.; Rubenstein, P.; Mehrjou, A.; Locatello, F.; Schölkopf, B.: The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. In: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), 53, S. 296 - 313. 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel, 22. Juli 2019 - 25. Juli 2019. Curran, Red Hook, NY, USA (2019)
153.
Konferenzbeitrag
Loktyushin, A.; Ehses, P.; Schölkopf, B.; Scheffler, K.: Learning-based solution to phase error correction in T2*-weighted GRE scans. In: International Conference on Medical Imaging with Deep Learning (MIDL 2018), S. 1 - 3. International Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, The Netherlands, 04. Juli 2018 - 06. Juli 2018. (2018)
154.
Konferenzbeitrag
Besserve, M.; Shajarisales, N.; Schölkopf, B.; Janzing, D.: Group invariance principles for causal generative models. In: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, S. 557 - 565 (Hg. Storkey , A.; Perez-Cruz, F.). 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Spain, 09. April 2018 - 11. April 2018. International Machine Learning Society, Madison, WI, USA (2018)
155.
Konferenzbeitrag
Loktyushin, A.; Schuler, C.; Scheffler, K.; Schölkopf, B.: Retrospective Motion Correction of Magnitude-Input MR Images. In: Machine Learning Meets Medical Imaging, S. 3 - 12 (Hg. Bhatia , K.K.). First International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), held in conjunction with ICML 2015, Lille, France. IEEE, Piscataway, NJ, USA (2016)
156.
Konferenzbeitrag
Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, S. 285 - 294 (Hg. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)
157.
Konferenzbeitrag
Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, S. 2535 - 2543 (Hg. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)
158.
Konferenzbeitrag
Mülling, K.; Boularias, A.; Mohler, B.; Schoelkopf, B.; Peters, J.: Inverse Reinforcement Learning for Strategy Extraction. In: ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), S. 1 - 9. ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), Praha, Czech Republic. (2013)
159.
Konferenzbeitrag
Köhler, R.; Hirsch, M.; Mohler, B.; Schoelkopf, B.; Harmeling, S.: Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. In: Computer Vision - ECCV 2012, S. 27 - 40 (Hg. Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.). 12th European Conference on Computer Vision (ECCV 2012), Firenze, Italy, 07. Oktober 2012 - 13. Oktober 2012. Springer, Berlin, Germany (2012)
160.
Konferenzbeitrag
Gomez Rodriguez, M.; Schölkopf, B.: Influence Maximization in Continuous Time Diffusion Networks. In: 29th International Conference on Machine Learning (ICML 2012), S. 313 - 320 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
Zur Redakteursansicht