Artikel (17): |
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Gretton A  , Borgwardt K , Rasch M , Schölkopf B und Smola A (March-2012) A Kernel Two-Sample Test
Journal of Machine Learning Research 13 723−773.
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Song L , Smola A , Gretton A , Bedo J und Borgwardt K (March-2012) Feature Selection via Dependence Maximization
Journal of Machine Learning Research . akzeptiert
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Blaschko MB , Shelton JA , Bartels A , Lampert CH und Gretton A (August-2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI
Pattern Recognition Letters 32(11) 1572-1583.
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Thoma M , Cheng H , Gretton A , Han J , Kriegel H-P , Smola AJ , Song L , Yu PS , Yan X und Borgwardt KM (October-2010) Discriminative frequent subgraph mining with optimality guarantees
Statistical Analysis and Data Mining 3(5) 302–318.
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Biessmann F , Meinecke FC , Gretton A , Rauch A , Rainer G , Logothetis NK und Müller K-R (May-2010) Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis
Machine Learning 79(1-2) 5-27.
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Sriperumbudur BK , Gretton A , Fukumizu K , Schölkopf B und Lanckriet GRG (April-2010) Hilbert Space Embeddings and Metrics on Probability Measures
Journal of Machine Learning Research 11 1517-1561.
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Shen H , Jegelka S und Gretton A (September-2009) Fast Kernel-Based Independent Component Analysis
IEEE Transactions on Signal Processing 57(9) 3498-3511.
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Ku S-P , Gretton A , Macke J und Logothetis NK (September-2008) Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys
Magnetic Resonance Imaging 26(7) 1007-1014.
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Belitski A , Gretton A , Magri C , Murayama Y , Montemurro MA , Logothetis NK und Panzeri S (May-2008) Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information
Journal of Neuroscience 28(22) 5696-5709.
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Rasch MJ , Gretton A , Murayama Y , Maass W und Logothetis NK (March-2008) Inferring Spike Trains From Local Field Potentials
Journal of Neurophysiology 99(3) 1461-1476.
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Song L , Bedo J , Borgwardt KM , Gretton A und Smola A (July-2007) Gene selection via the BAHSIC family of algorithms
Bioinformatics 23(13: ISMB/ECCB 2007 Conference Proceedings) i490-i498.
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Fukumizu K , Bach FR und Gretton A (February-2007) Statistical Consistency of Kernel Canonical Correlation Analysis
Journal of Machine Learning Research 8 361-383.
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Davy M , Desobry F , Gretton A und Doncarli C (August-2006) An Online Support Vector Machine for Abnormal Events Detection
Signal Processing 86(8) 2009-2025.
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Borgwardt KM , Gretton A , Rasch M , Kriegel H-P , Schölkopf B und Smola A (August-2006) Integrating Structured Biological data by Kernel Maximum Mean Discrepancy
Bioinformatics 22(4: ISMB 2006 Conference Proceedings) e49-e57.
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Gretton A , Belitski A , Murayama Y , Schölkopf B und Logothetis NK (April-2006) The Effect of Artifacts on Dependence Measurement in fMRI
Magnetic Resonance Imaging 24(4) 401-409.
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Gretton A , Herbrich R , Smola A , Bousquet O und Schölkopf B (December-2005) Kernel Methods for Measuring Independence
Journal of Machine Learning Research 6 2075-2129.
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Davy M , Gretton A , Doucet A und Rayner PJW (December-2002) Optimized Support Vector Machines for Nonstationary Signal Classification
IEEE Signal Processing Letters 9(12) 442-445.
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Beiträge zu Tagungsbänden (37): |
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Sriperumbudur BK , Fukumizu K , Gretton A , Schölkopf B und Lanckriet GRG (June-2010) Non-parametric estimation of integral
probability metrics
IEEE International Symposium on Information Theory (ISIT 2010), IEEE, Piscataway, NJ, USA, 1428-1432.
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Gretton A , Fukumizu K , Harchaoui Z und Sriperumbudur BK (April-2010) A Fast, Consistent Kernel Two-Sample Test
In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 673-681.
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Sriperumbudur BK , Fukumizu K , Gretton A , Lanckriet GRG und Schölkopf B (April-2010) Kernel Choice and Classifiability for RKHS
Embeddings of Probability Distributions
In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1750-1758.
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Tillman RE , Gretton A und Spirtes P (April-2010) Nonlinear directed acyclic structure learning with weakly additive noise models
In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1847-1855.
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Peters J , Janzing D , Gretton A und Schölkopf B (2010) Kernel Methods for Detecting the Direction of Time Series
In: Advances in Data Analysis, Data Handling and Business Intelligence, 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66.
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Jegelka S , Gretton A , Schölkopf B , Sriperumbudur BK und von Luxburg U (September-2009) Generalized Clustering via Kernel Embeddings
In: KI 2009: AI and Automation, 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152.
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Fukumizu K , Sriperumbudur BK , Gretton A und Schölkopf B (June-2009) Characteristic Kernels on Groups and Semigroups
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 473-480.
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Peters J , Janzing D , Gretton A und Schölkopf B (June-2009) Detecting the Direction of Causal Time Series
In: ICML 2009, 26th International Conference on Machine Learning, ACM Press, New York, NY, USA, 801-808.
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Zhang X , Song L , Gretton A und Smola A (June-2009) Kernel Measures of Independence for Non-IID Data
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1937-1944.
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Blaschko MB und Gretton A (June-2009) Learning Taxonomies by Dependence Maximization
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 153-160.
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Thoma M , Cheng H , Gretton A , Han J , Kriegel H-P , Smola AJ , Song L , Yu PS , Yan X und Borgwardt KM (May-2009) Near-optimal supervised feature selection among frequent subgraphs
9th SIAM Conference on Data Mining (SDM 2009), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 1076-1087.
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Gretton A und Györfi L (October-2008) Nonparametric Independence Tests: Space
Partitioning and Kernel Approaches
In: ALT08, 19th International Conference on Algorithmic Learning Theory (ALT08), Springer, Berlin, Germany, 183-198.
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Gretton A , Fukumizu K , Teo CH , Song L , Schölkopf B und Smola AJ (September-2008) A Kernel Statistical Test of Independence
In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 585-592.
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Song L , Smola AJ , Borgwardt K und Gretton A (September-2008) Colored Maximum Variance Unfolding
In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1385-1392.
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Fukumizu K , Gretton A , Sun X und Schölkopf B (September-2008) Kernel Measures of Conditional Dependence
In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 489-496.
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Schölkopf B , Sriperumbudur BK , Gretton A und Fukumizu K (August-2008) RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics
In: OWR 2008, 30. Oberwolfach Report, Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 42-44.
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Blaschko MB , Lampert CH und Gretton A (August-2008) Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
In: ECML PKDD 2008, 19th European Conference on Machine Learning, Springer, Berlin, Germany, 133-145.
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Blaschko MB und Gretton A (July-2008) A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery
In: MLG 2008, 6th International Workshop on Mining and Learning with Graphs, 1-3.
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Sriperumbudur BK , Gretton A , Fukumizu K , Lanckriet G und Schölkopf B (July-2008) Injective Hilbert Space Embeddings of Probability Measures
In: COLT 2008, 21st Annual Conference on Learning Theory, Omnipress, Madison, WI, USA, 111-122.
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Song L , Zhang X , Smola A , Gretton A und Schölkopf B (July-2008) Tailoring density estimation via reproducing kernel moment matching
In: ICML 2008, 25th International Conference on Machine Learning, ACM Press, New York, NY, USA, 992-999.
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Smola A , Gretton A , Song L und Schölkopf B (October-2007) A Hilbert Space Embedding for Distributions
In: ALT 2007, 18th International Conference on Algorithmic Learning Theory, Springer, Berlin, Germany, 13-31.
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Gretton A , Borgwardt KM , Rasch M , Schölkopf B und Smola A (September-2007) A Kernel Method for the Two-Sample-Problem
In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 513-520.
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Huang J , Smola A , Gretton A , Borgwardt KM und Schölkopf B (September-2007) Correcting Sample Selection Bias by Unlabeled Data
In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 601-608.
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Gretton A , Borgwardt KM , Rasch M , Schölkopf B und Smola AJ (July-2007) A Kernel Approach to Comparing Distributions
Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), AAAI Press, Menlo Park, CA, USA, 1637-1641.
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Song L , Smola AJ , Gretton A und Borgwardt KM (June-2007) A Dependence Maximization View of Clustering
Twenty-Fourth Annual International Conference on Machine Learning (ICML 2007), ACM Press, New York, NY, USA, 815-822.
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Song L , Smola AJ , Gretton A , Borgwardt KM und Bedo J (June-2007) Supervised Feature Selection via Dependence Estimation
Twenty-Fourth Annual International Conference on Machine Learning (ICML 2007), ACM Press, New York, NY, USA, 823-830.
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Shen H , Jegelka S und Gretton A (March-2007) Fast Kernel ICA using an Approximate Newton Method
In: JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, MIT Press, Cambridge, MA, USA, 476-483.
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Fukumizu K , Bach F und Gretton A (May-2006) Statistical Convergence of Kernel CCA
In: Advances in neural information processing systems 18, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), MIT Press, Cambridge, MA, USA, 387-394.
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Jegelka S , Gretton A und Achlioptas D (December-2005) Kernel ICA for Large Scale Problems
NIPS 2005 Workshop on Large Scale Kernel Machines, -.
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Gretton A , Bousquet O , Smola A und Schoelkopf B (October-8-2005) Measuring Statistical Dependence with Hilbert-Schmidt Norms
In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, ALT 2005, 63-78.
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Gretton A , Smola AJ , Bousquet O , Herbrich R , Belitski A , Augath M , Murayama Y , Pauls J , Schölkopf B und Logothetis NK (January-2005) Kernel Constrained Covariance for Dependence Measurement
In: AISTATS 2005, Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), 112-119.
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Zhou D , Weston J , Gretton A , Bousquet O und Schölkopf B (June-2004) Ranking on Data Manifolds
In: Advances in neural information processing systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
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BakIr G , Gretton A , Franz M und Schölkopf B (2004) Multivariate Regression via Stiefel Manifold Constraints
DAGM 2004, Springer, Berlin, Germany, 262-269.
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