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Dr. Arthur Gretton

Adresse: Spemannstr. 38
72076 Tübingen
Raum Nummer: 204
Tel.: 07071 601 562
Fax: 07071 601 552
E-Mail: arthur.gretton

 

Bild von Gretton, Arthur, Dr.

Arthur Gretton

Position: Wissenschaftler  Abteilung: 

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Beiträge zu Tagungsbänden (39):

Gretton A und Desobry F (April-2003) On-line one-class support vector machines: An application to signal segmentation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), IEEE, Piscataway, NJ, USA, 709-712.
Gretton A, Herbrich R und Smola A (April-2003) The Kernel Mutual Information, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), IEEE, Piscataway, NJ, USA, 880-883.
Gretton A, Doucet A, Herbrich R, Rayner P und Schölkopf B (August-2001) Support Vector Regression for Black-Box System Identification, 11th IEEE Workshop on Statistical Signal Processing (SSP 2001), IEEE Operations Center, Piscataway, NJ, USA, 341-344.
Gretton A, Davy M, Doucet A und Rayner PJW (2001) Nonstationary Signal Classification using Support Vector Machines, 11th IEEE Workshop on Statistical Signal Processing, 11th IEEE Workshop on Statistical Signal Processing, 305-305.
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Beiträge zu Büchern (2):

Gretton A, Smola AJ, Huang J, Schmittfull M, Borgwardt KM und Schölkopf B: Covariate Shift by Kernel Mean Matching, 131-160. In: Dataset Shift in Machine Learning, (Ed) J. Quiñonero Candela, MIT Press, Cambridge, MA, USA, (Februar-2009).
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Jegelka S und Gretton A: Brisk Kernel Independent Component Analysis, 225-250. In: Large Scale Kernel Machines, (Ed) L. Bottou, MIT Press, Cambridge, MA, USA, (September-2007).
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Technische Berichte (10):

Gretton A und Györfi L: Consistent Nonparametric Tests of Independence, 172, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juli-2009).
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Blaschko MB und Gretton A: Taxonomy Inference Using Kernel Dependence Measures, 181, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2008).
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Gretton A, Borgwardt K, Rasch M, Schölkopf B und Smola A: A Kernel Method for the Two-sample Problem, 157, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (April-2008).
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Shen H, Jegelka S und Gretton A: Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function, PA006080, National ICT Australia, Canberra, Australia, (Oktober-2006).
Fukumizu K, Bach F und Gretton A: Consistency of Kernel Canonical Correlation Analysis, 942, Institute of Statistical Mathematics, 4-6-7 Minami-azabu, Minato-ku, Tokyo 106-8569 Japan, (Juni-2005).
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Gretton A, Bousquet O, Smola AJ und Schölkopf B: Measuring Statistical Dependence with Hilbert-Schmidt Norms, 140, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juni-2005).
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Gretton A, Smola A, Bousquet O, Herbrich R, Schölkopf B und Logothetis NK: Behaviour and Convergence of the Constrained Covariance, 130, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Oktober-2004).
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Bakir GH, Gretton A, Franz MO und Schölkopf B: Multivariate Regression with Stiefel Constraints, 128, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juli-2004).
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Zhou D, Weston J, Gretton A, Bousquet O und Schölkopf B: Ranking on Data Manifolds, 113, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juni-2003).
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Gretton A, Herbrich R und Smola AJ: The Kernel Mutual Information, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (April-2003).

Poster (5):

Shelton JA, Blaschko MB, Gretton A, Müller J, Fischer E und Bartels A (Dezember-11-2010): 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.
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Biessmann F, Gretton A, Meinecke FC, Zhang X, Rainer G, Logothetis NK, Müller K-R und Rauch A (Juli-2009): Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology, Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany, BMC Neuroscience, 10(Supplement 1) 67-68.
Ku S-P, Gretton A, Macke J, Tolias AT und Logothetis NK (Juni-2008): 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.
Belitski A, Gretton A, Magri C, Murayama Y, Montemurro M, Logothetis NK und Panzeri S (November-2007): 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.
Gretton A, Belitski A, Murayama Y, Schölkopf B und Logothetis NK (November-2005): Kernel methods for dependence testing in LFP-MUA, 35th Annual Meeting of the Society for Neuroscience (Neuroscience 2005), Washington, DC, USA.

Abschlussarbeiten (1):

Gretton AL: Kernel Methods for Classification and Signal Separation, University of Cambridge, UK, (April-2003). PhD thesis

Vorträge (5):

Gretton A und Györfi L (Oktober-2008) Abstract Talk: Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches, 19th International Conference on Algorithmic Learning Theory (ALT 2008), Budapest, Hungary.
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Ku S-P, Gretton A, Macke J und Logothetis NK (Oktober-2008) Abstract Talk: Pattern recognition methods in classifying fMRI data, 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany(11).
Fukumizu K, Gretton A und Smola A (Juli-2008) Invited Lecture: Painless Embeddings of Distributions: the Function Space View (Part 1), 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland.
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Gretton A (Oktober-12-2007) Invited Lecture: Hilbert Space Representations of Probability Distributions, 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan.
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Jegelka S, Gretton A und Achlioptas D (Dezember-2005) Invited Lecture: Kernel ICA for Large Scale Problems, NIPS 2005 Workshop on Large Scale Kernel Machines, Whistler, Canada.
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Last updated: Dienstag, 18.11.2014