Suchergebnisse

Zeitschriftenartikel (3)

  1. 1.
    Zeitschriftenartikel
    Janzing, D.; Mooij, J.; Zhang, K.; Lemeire, J.; Zscheischler, J.; Daniušis, P.; Steudel, B.; Schölkopf, B.: Information-geometric approach to inferring causal directions. Artificial Intelligence 182-183, S. 1 - 31 (2012)
  2. 2.
    Zeitschriftenartikel
    Zhang, K.; Chan, L.-W.: Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion. Neurocomputing 73 (13-15), S. 2580 - 2588 (2010)
  3. 3.
    Zeitschriftenartikel
    Hyvärinen, A.; Zhang, K.; Shimizu, S.; Hoyer, P.: Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. Journal of Machine Learning Research 11, S. 1709 - 1731 (2010)

Konferenzbeitrag (12)

  1. 4.
    Konferenzbeitrag
    Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.: On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), S. 1255 - 1262 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
  2. 5.
    Konferenzbeitrag
    Zhang, K.; Hyvärinen, A.: A general linear non-Gaussian state-space model: Identifiability, identification, and applications. In: Asian Conference on Machine Learning, 14-15 November 2011, South Garden Hotels and Resorts, Taoyuan, Taiwain, S. 113 - 128 (Hg. Hsu, C.-N.; Lee, W.). 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 14. November 2011 - 15. November 2011. MIT Press, Cambridge, MA, USA (2011)
  3. 6.
    Konferenzbeitrag
    Zhang, K.; Peters, J.; Janzing, D.; Schölkopf, B.: Kernel-based Conditional Independence Test and Application in Causal Discovery. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), S. 804 - 813 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
  4. 7.
    Konferenzbeitrag
    Zscheischler, J.; Janzing, D.; Zhang, K.: Testing whether linear equations are causal: A free probability theory approach. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), S. 839 - 847 (Hg. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
  5. 8.
    Konferenzbeitrag
    Mooij, J.; Stegle, O.; Janzing, D.; Zhang, K.; Schölkopf, B.: Probabilistic latent variable models for distinguishing between cause and effect. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, 06. Dezember 2010 - 11. Dezember 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, S. 1687 - 1695 (2011)
  6. 9.
    Konferenzbeitrag
    Daniusis, P.; Janzing, D.; Mooij, J.; Zscheischler, J.; Steudel, B.; Zhang, K.; Schölkopf, B.: Inferring deterministic causal relations. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), S. 143 - 150 (Hg. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, 08. Juli 2010 - 11. Juli 2010. AUAI Press, Corvallis, OR, USA (2010)
  7. 10.
    Konferenzbeitrag
    Zhang, K.; Schölkopf, B.; Janzing, D.: Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), S. 717 - 724 (Hg. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, 08. Juli 2010 - 11. Juli 2010. AUAI Press, Corvallis, OR, USA (2010)
  8. 11.
    Konferenzbeitrag
    Zhang, M.-L.; Zhang, K.: Multi-Label Learning by Exploiting Label Dependency. In: 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), S. 999 - 1008 (Hg. Rao, B.; Krishnapuram, B.; Tomkins, A.; Yang, Q.). 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA, 25. Juli 2010 - 28. Juli 2010. ACM Press, New York, NY, USA (2010)
  9. 12.
    Konferenzbeitrag
    Zhang, K.; Hyv ̈arinen, A.: Source Separation and Higher-Order Causal Analysis of MEG and EEG. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), S. 709 - 716 (Hg. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, 08. Juli 2010 - 11. Juli 2010. AUAI Press, Corvallis, OR, USA (2010)
  10. 13.
    Konferenzbeitrag
    Zhang, K.; Hyvärinen, A.: Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, S. 570 - 585 (Hg. Buntine, W.; Mladenić, D.; Shawe-Taylor, J.). 16th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slovenia, 07. September 2009 - 11. September 2009. Springer, Berlin, Germany (2009)
  11. 14.
    Konferenzbeitrag
    Zhang, K.; Hyvärinen, A.: On the Identifiability of the Post-Nonlinear Causal Model. In: 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), S. 647 - 655 (Hg. Bilmes, J.; NG, A.; McAllester, D.). 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montréal, Canada, 18. Juni 2009 - 21. Juni 2009. AUAI Press, Corvallis, OR, USA (2009)
  12. 15.
    Konferenzbeitrag
    Zhang, K.; Peng, H.; Chan, L.; Hyvärinen, A.: ICA with Sparse Connections: Revisited. In: Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, S. 195 - 202 (Hg. Adali, T.; Jutten, C.; Romano Travassos, J.; Barros Kardec, A.). 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), Paraty, Brazil, 15. März 2009 - 18. März 2009. Springer, Berlin, Germany (2009)

Poster (1)

  1. 16.
    Poster
    He, Y.; Zhang, K.; Yu, X.: Model the single-venule fMRI signal at the millisecond scale. 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, Canada (2015)
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