Beiträge zu Tagungsbänden (37): |
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Gretton A und Desobry (April-2003) On-Line One-Class Support Vector Machines. An Application to Signal Segmentation
In: IEEE ICASSP Vol. 2, IEEE ICASSP, 709-712.
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Gretton A , Herbrich R und Smola A (April-2003) The Kernel Mutual Information
IEEE ICASSP, 880-883.
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Gretton A , Davy M , Doucet A und Rayner PJW (2001) Nonstationary Signal Classification using Support Vector Machines
11th IEEE Workshop on Statistical Signal Processing, 305-305.
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Gretton A , Doucet A , Herbrich R , Rayner P und Schölkopf B (2001) Support Vector Regression for Black-Box System Identification
11th IEEE Workshop on Statistical Signal Processing, 341-341.
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Beiträge zu Büchern (2): |
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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, (February-2009).

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Jegelka S und Gretton A : Brisk Kernel ICA, 225-250.
In: Large Scale Kernel Machines, (Ed) L. Bottou, MIT Press, Cambridge, MA, USA, (September-2007).

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Technische Berichte (12): |
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Gretton A und Györfi L : Consistent Nonparametric Tests of Independence, 172, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-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, (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, (October-2006).
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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, (June-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, (June-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, MPI for Biological Cybernetics, (2004).
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Bakir GH , Gretton A , Franz MO und Schölkopf B : Multivariate Regression with Stiefel Constraints, 128, MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, (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, 72076 Tuebingen, Germany, (June-2003).
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Gretton A , Herbrich R und Smola AJ : The Kernel Mutual Information, Max Planck Institute for Biological Cybernetics, (April-2003).
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Gretton A , Herbrich R , Schölkopf B und Rayner PJW : Bound on the Leave-One-Out Error for 2-Class Classification using $nu$-{SVM}s, University of Cambridge, (2001).
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Gretton A , Herbrich R , Schölkopf B , Smola AJ und Rayner PJW : Bound on the Leave-One-Out Error for Density Support Estimation using $nu$-{SVM}s, University of Cambridge, (2001).
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Poster (6): |
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Biessmann F , Gretton A , Meinecke FC , Zhang X , Rainer G , Logothetis NK , Müller K-R und Rauch A (2013): Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology, Eighteenth Annual Computational Neuroscience Meeting (CNS*2009), Berlin, Germany, BMC Neuroscience, 10(Suppl 1) P86.

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Shelton JA , Blaschko MB , Gretton A , Müller J , Fischer E und Bartels A (December-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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Ku S-P , Gretton A , Macke J , Tolias AT und Logothetis NK (June-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.
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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.
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Smola AJ , Gretton A , Song L und Schölkopf B (October-2007): A Hilbert Space Embedding for Distributions, Proceedings of the 10th International Conference on Discovery Science (DS 2007), 10 40-41.
 
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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.
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Abschlussarbeiten (1): |
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Gretton A : Kernel Methods for Classification and Signal Separation, University of Cambridge, Cambridge, (April-2003).
PhD thesis
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Vorträge (4): |
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Gretton A und Györfi L (October-2008): Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches, 19th International Conference on Algorithmic Learning Theory (ALT08), Budapest, Hungary.

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Ku S-P , Gretton A , Macke J und Logothetis NK (October-2008) Abstract Talk: Pattern recognition methods in classifying fMRI data, 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany(11).
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Fukumizu K , Gretton A und Smola A (July-2008): 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 (October-2007): Hilbert Space Representations of Probability Distributions, 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan.

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