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Koji Tsuda, Dr. (Kyoto University, Japan)

Raum Nummer: 215
Fax: 07071-601-552

 

Bild von Tsuda, Koji, Dr. (Kyoto University, Japan)

Koji Tsuda

Position: Seniorwissenschaftler  Abteilung: 

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Beiträge zu Tagungsbänden (33):

Tsuda K, Kawanabe M und Müller KR (Oktober-2003) Clustering with the Fisher score In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 729-736.
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Kashima H, Tsuda K und Inokuchi A (August-2003) Marginalized Kernels between Labeled Graphs, Twentieth International Conference on Machine Learning (ICML 2003), AAAI Press, Menlo Park, CA, USA, 321-328.
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Tsuda K, Kawanabe M, Rätsch G, Sonnenburg S und Müller K-R (September-2002) A new discriminative kernel from probabilistic models In: Advances in Neural Information Processing Systems 14, , Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), MIT Press, Cambridge, MA, USA, 977-984.
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Tsuda K und Kawanabe M (August-2002) The Leave-One-Out Kernel In: Artificial Neural Networks - ICANN 2002, , International Conference on Artificial Neural Networks, Springer, Berlin, Germany, 727-732, Series: Lecture Notes in Computer Science ; 2415.
Kin T, Tsuda K und Asai K (2002) Marginalized kernels for RNA sequence data analysis, Genome Informatics 2002, Genome Informatics 2002, 112-122.
Tsuda K, Rätsch G, Mika S und Müller K-R (August-2001) Learning to predict the leave-one-out error of kernel based classifiers In: Artificial Neural Networks - ICANN 2001, , International Conference on Artificial Neural Networks, Springer, Berlin, Germany, 331-338, Series: Lecture Notes in Computer Science ; 2130.

Beiträge zu Büchern (5):

Tsuda K: Data Mining for Biologists, 14-27. In: Biological Data Mining in Protein Interaction Networks, (Ed) X. Li, Medical Information Science Reference, Hershey, PA, USA, (Mai-2009).
Vert JP, Tsuda K und Schölkopf B: A Primer on Kernel Methods, 35-70. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf und J.P. Vert, MIT Press, Cambridge, MA, USA, (August-2004).
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Kashima H, Tsuda K und Inokuchi A: Kernels for graphs, 155-170. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA; USA, (August-2004).
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Kin T, Kato T und Tsuda K: Protein Classification via Kernel Matrix Completion, 261-274. In: Kernel Methods in Computational Biology, (Ed) B. Schölkopf, MIT Press, Cambridge, MA, USA, (August-2004).
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Müller K-R, Mika S, Rätsch G, Tsuda K und Schölkopf B: An Introduction to Kernel-Based Learning Algorithms, 95-134. In: Handbook of neural network signal processing, (Ed) Y.H. Hu, CRC Press, Boca Raton, FL, USA, (2002).

Technische Berichte (2):

Nowozin S und Tsuda K: Frequent Subgraph Retrieval in Geometric Graph Databases, 180, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2008).
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Tsuda K und Rätsch G: Image Reconstruction by Linear Programming, 118, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Oktober-2003).
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Poster (3):

Georgii E, Dietmann S, Uno T, Pagel P und Tsuda K (November-2007): Mining expression-dependent modules in the human interaction network, Third International Society for Computational Biology (ISCB), Student Council Symposium at the Fifteenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Wien, Austria, BMC Bioinformatics, 8(Supplement 8) S4.
Saigo H, Uno T und Tsuda K (Juli-2007): Mining complex genotypic features for predicting HIV-1 drug resistance, 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2007) & 6th European Conference on Computational Biology (ECCB 2007), Wien, Austria.
Tsuda K und Noble WS (März-2004): Learning kernels from biological networks by maximizing entropy, Eighth Annual International Conference on Computational Molecular Biology (RECOMB 2004), San Diego, CA, USA.

Vorträge (8):

Shervashidze N und Tsuda K (Dezember-2008): Logistic Regression for Graph Classification, NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008), Whistler, BC, Canada.
Tsuda K (März-10-2008) Invited Lecture: Enumeration of condition-specific dense modules in protein interaction networks, Joint Bioinformatics Education Program: Kyoto University and University of Tokyo, Kyoto, Japan.
Saigo H, Hattori M und Tsuda K (Dezember-7-2007) Abstract Talk: Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism, NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada.
Tsuda K (Mai-14-2007) Invited Lecture: Mathematical Programming Methods for Learning from Structured Data: Applications to Molecular QSAR Analysis, HIV Drug Resistance Prediction, and Image Categorisation, Joint Bioinformatics Education Program: Kyoto University and University of Tokyo, Kyoto, Japan.
Saigo H, Kadowaki T, Kudo T und Tsuda K (Dezember-2006): Graph boosting for molecular QSAR analysis, NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Vancouver, BC, Canada.
Steinke F, Seeger M und Tsuda K (Juli-26-2006) Invited Lecture: Experimental Design for Efficient Identification of Gene Regulatory Networks using Sparse Bayesian Models, International Workshop on Probabilistic Modelling in Computational Biology (PMCB 2007), Wien, Austria.
Rätsch G und Tsuda K (August-2-2004) Abstract Talk: The v-Trick for Image Reconstruction, First Mathematical Programming Society International Conference on Continuous Optimization (ICCOPT I), Troy, NY, USA 55.
Tsuda K (April-14-2003) Invited Lecture: Marginalized kernels between labeled graphs, Workshop "Kernel Methods in Computational Biology", Berlin, Germany.
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Last updated: Montag, 22.05.2017