Suchergebnisse

Zeitschriftenartikel (1)

  1. 1.
    Zeitschriftenartikel
    Sun, X.; Janzing, D.; Schölkopf, B.: Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing 71 (7-9), S. 1248 - 1256 (2008)

Buch (1)

  1. 2.
    Buch
    Sun, X.: Causal inference from statistical data. Logos Verlag, Berlin, Germany (2008), 220 S.

Konferenzbeitrag (9)

  1. 3.
    Konferenzbeitrag
    Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: 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)
  2. 4.
    Konferenzbeitrag
    Sun, X.: 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)
  3. 5.
    Konferenzbeitrag
    Sun, X.: 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)
  4. 6.
    Konferenzbeitrag
    Sun, X.: 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.; 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)
  5. 7.
    Konferenzbeitrag
    Sun, X.; Janzing, D.; Schölkopf, B.; Fukumizu, K.: 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)
  6. 8.
    Konferenzbeitrag
    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, 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)
  7. 9.
    Konferenzbeitrag
    Sun, X.; Janzing, D.: 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)
  8. 10.
    Konferenzbeitrag
    Sun, X.; Janzing, D.: 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)
  9. 11.
    Konferenzbeitrag
    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), 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)

  1. 12.
    Vortrag
    Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
  2. 13.
    Vortrag
    Sun, X.; Janzing, D.; Schölkopf, B.: 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)

  1. 14.
    Hochschulschrift - Doktorarbeit
    Sun, X.: Causal inference from statistical data. Dissertation, Universität Karlsruhe, Karlsruhe, Germany (2008)
Zur Redakteursansicht