Publikationen von X Sun
Alle Typen
Zeitschriftenartikel (1)
1.
Zeitschriftenartikel
71 (7-9), S. 1248 - 1256 (2008)
Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing Buch (1)
2.
Buch
Causal inference from statistical data. Logos Verlag, Berlin, Germany (2008), 220 S.
Konferenzbeitrag (9)
3.
Konferenzbeitrag
Kernel Measures of Conditional Dependence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 489 - 496 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
4.
Konferenzbeitrag
Assessing Nonlinear Granger Causality from Multivariate Time Series. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, S. 440 - 455 (Hg. Daelemans, W.; Goethals, B.; Morik, K.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerpen, Belgium, 15. September 2008 - 19. September 2008. Springer, Berlin, Germany (2008)
5.
Konferenzbeitrag
Distribution-free Learning of Bayesian Network Structure. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, S. 423 - 439 (Hg. Daelemans, W.; Goethals, B.; Morik, K.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerpen, Belgium, 15. September 2008 - 19. September 2008. Springer, Berlin, Germany (2008)
6.
Konferenzbeitrag
Chiappa, S.). Workshop on Inference and Estimation in Probabilistic Time-Series Models, Cambridge, UK, 18. Juni 2008 - 20. Juni 2008. Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom (2008)
A Kernel Test of Nonlinear Granger Causality. In: Workshop on Inference and Estimation in Probabilistic Time-Series Models, S. 79 - 89 (Hg. Barber, D.; Cemgil, A.; 7.
Konferenzbeitrag
A Kernel-Based Causal Learning Algorithm. In: ICML '07: 24th International Conference on Machine Learning, S. 855 - 862 (Hg. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)
8.
Konferenzbeitrag
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 465 - 470 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side, Evere, Belgium (2007)
9.
Konferenzbeitrag
Learning causality by identifying common effects with kernel-based dependence measures. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, S. 453 - 458 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side, Evere, Belgium (2007)
10.
Konferenzbeitrag
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, S. 441 - 446 (Hg. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, 25. April 2007 - 27. April 2007. D-Side Publications, Evere, Belgium (2007)
11.
Konferenzbeitrag
Causal Inference by Choosing Graphs with Most Plausible Markov Kernels. In: Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), S. 1 - 11. Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), Fort Lauderdale, FL, USA, 04. Januar 2005 - 06. Januar 2005. (2006)
Vortrag (2)
12.
Vortrag
Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
13.
Vortrag
Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions. NIPS 2006 Workshop on Causality and Feature Selection (CWS 2006), Whistler, BC, Canada (2006)
Hochschulschrift - Doktorarbeit (1)
14.
Hochschulschrift - Doktorarbeit
Causal inference from statistical data. Dissertation, Universität Karlsruhe, Karlsruhe, Germany (2008)