Artikel (2): |
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Shervashidze N  , Schweitzer P , van Leeuwen EJ , Mehlhorn K und Borgwardt M (September-2011) Weisfeiler-Lehman Graph Kernels
Journal of Machine Learning Research 12 2539−2561.
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Camps-Valls G , Shervashidze N und Borgwardt K (October-2010) Spatio-Spectral Remote Sensing Image Classification With Graph Kernels
IEEE Geoscience and Remote Sensing Letters 7(4) 741-745.
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Beiträge zu Tagungsbänden (3): |
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Shervashidze N und Borgwardt KM (April-2010) Fast subtree kernels on graphs
In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1660-1668.
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Kondor R , Shervashidze N und Borgwardt KM (June-2009) The graphlet spectrum
26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 529-536.
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Shervashidze N , Vishwanathan SVN , Petri TH , Mehlhorn K und Borgwardt KM (April-2009) Efficient Graphlet Kernels for Large Graph Comparison
In: JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, Twelfth International Conference on Artificial Intelligence and Statistics, MIT Press, Cambridge, MA, USA, 488-495.
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Poster (1): |
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Klotzbücher K , Kobayashi Y , Shervashidze N , Borgwardt KM und Weigel D (September-2009): A flowering-time gene network model for association analysis in Arabidopsis thaliana, German Conference on Bioinformatics (GCB '09), Halle, Germany.
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Vorträge (1): |
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Shervashidze N und Tsuda K (December-2008): Logistic Regression for Graph Classification, NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008), Whistler, BC, Canada.
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