Suchergebnisse

Vortrag (6)

  1. 61.
    Vortrag
    Cortes, C.; Gretton, A.; Lanckriet, G.; Mohri, M.; Rostamizadeh, A.: Kernel Learning: Automatic Selection of Optimal Kernels. NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels, Whistler, BC, Canada (2008)
  2. 62.
    Vortrag
    Gretton, A.: Fundamentals of distribution embedding and characteristic kernels. ICML 2008 Tutorial: Painless embeddings of distributions: the function space view, Helsinki, Finland (2008)
  3. 63.
    Vortrag
    Smola, A.; Gretton, A.; Fukumizu, K.: Painless Embeddings of Distributions: the Function Space View. 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland (2008)
  4. 64.
    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)
  5. 65.
    Vortrag
    Gretton, A.; Borgwardt, K.; Fukumizu, K.; Rasch, M.; Schölkopf, B.; Smola, A.; Song, L.; Teo, C.: Hilbert Space Representations of Probability Distributions. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)

Poster (7)

  1. 66.
    Poster
    Shelton, J.; Blaschko, M.; Gretton, A.; Müller, J.; Fischer, E.; Bartels, A.: Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI. NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, BC, Canada (2010)
  2. 67.
    Poster
    Biessmann, F.; Gretton, A.; Meinecke, F.; Zhang, X.; Rainer, G.; Logothetis, N.; Müller, K.-R.; Rauch, A.: Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology. Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany (2009)
  3. 68.
    Poster
    Ku, S.-P.; Gretton, A.; Macke, J.; Tolias, A.; Logothetis, N.: Analysis of Pattern Recognition Methods in Classifying Bold Signals in Monkeys at 7-Tesla. AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece (2008)
  4. 69.
    Poster
    Belitski, A.; Gretton, A.; Magri, C.; Murayama, Y.; Montemurro, M.; Logothetis, N.; Panzeri, S.: A time/frequency decomposition of information transmission by LFPs and spikes in the primary visual cortex. 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), San Diego, CA, USA (2007)
  5. 70.
    Poster
    Gretton, A.; Belitski, A.; Murayama, Y.; Schölkopf, B.; Logothetis, N.: Kernel methods for dependence testing in LFP-MUA. 35th Annual Meeting of the Society for Neuroscience (Neuroscience 2005), Washington, DC, USA (2005)
  6. 71.
    Poster
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based dependence detection in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)
  7. 72.
    Poster
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel-based measures of dependence in the Macaque visual cortex. Computational and Systems Neuroscience Meeting (COSYNE 2005), Salt Lake City, UT, USA (2005)

Bericht (12)

  1. 73.
    Bericht
    Gretton, A.; Györfi, L.: Consistent Nonparametric Tests of Independence (Technical Report of the Max Planck Institute for Biological Cybernetics, 172). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2009), 35 S.
  2. 74.
    Bericht
    Blaschko, M.; Gretton, A.: Taxonomy Inference Using Kernel Dependence Measures (Technical Report of the Max Planck Institute for Biological Cybernetics, 181). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 11 S.
  3. 75.
    Bericht
    Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-sample Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 157). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 44 S.
  4. 76.
    Bericht
    Shen, H.; Jegelka, S.; Gretton, A.: Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function. National ICT Australia (2006)
  5. 77.
    Bericht
    Fukumizu, K.; Bach, F.; Gretton, A.: Consistency of Kernel Canonical Correlation Analysis. Institute of Statistical Mathematics, Tokyo, Japan (2005), 22 S.
  6. 78.
    Bericht
    Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 S.
  7. 79.
    Bericht
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 S.
  8. 80.
    Bericht
    Bakir, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression with Stiefel Constraints (Max Planck Institute for Biological Cybernetics, 128). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 25 S.
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