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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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Bücher (1):

Schölkopf B, Tsuda K und Vert J-P: Kernel Methods in Computational Biology, 410, MIT Press, Cambridge, MA, USA, (August-2004). ISBN: 0-262-19509-7, Series: Computational Molecular Biology

Artikel (23):

Tsuda K (Oktober-2012) Data Mining for Biologists International Journal of Knowledge Discovery in Bioinformatics 3(4) 1-14.
Kam-Thong T, Czamara D, Tsuda K, Borgwardt K, Lewis CM, Erhardt-Lehmann A, Hemmer B, Rieckmann P, Daake M, Weber F, Wolf C, Ziegler A, Pütz B, Holsboer F, Schölkopf B und Müller-Myhsok B (April-2011) EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units European Journal of Human Genetics 19(4) 465-471.
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Georgii E, Tsuda K und Schölkopf B (Februar-2011) Multi-way set enumeration in weight tensors Machine Learning 82(2) 123-155.
Georgii E, Dietmann S, Uno T, Pagel P und Tsuda K (Februar-2009) Enumeration of condition-dependent dense modules in protein interaction networks Bioinformatics 25(7) 933-940.
Dietmann S, Georgii E, Antonov A, Tsuda K und Mewes H-W (Januar-2009) The DICS repository: module-assisted analysis of disease-related gene lists Bioinformatics 25(6) 830-831.
Saigo H, Nowozin S, Kadowaki T, Kudo T und Tsuda K (November-2008) gBoost: A Mathematical Programming Approach to Graph Classification and Regression Machine Learning 75(1) 69-89.
Shin HH, Tsuda K und Schölkopf B (März-2008) Protein Functional Class Prediction With a Combined Graph Expert Systems with Applications 36(2) 3284-3292.
Steinke F, Seeger M und Tsuda K (November-2007) Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models BMC Systems Biology 1(51) 1-15.
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Saigo H, Uno T und Tsuda K (September-2007) Mining complex genotypic features for predicting HIV-1 drug resistance Bioinformatics 23(18) 2455-2462.
Hamada M, Tsuda K, Kudo T, Kin T und Asai K (Oktober-2006) Mining frequent stem patterns from unaligned RNA sequences Bioinformatics 22(20) 2480-2487.
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Tabei Y, Tsuda K, Kin T und Asai K (Mai-2006) SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments Bioinformatics 22(14) 1723-1729.
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Kato T, Tsuda K und Asai K (Oktober-2005) Selective integration of multiple biological data for supervised network inference Bioinformatics 21(10) 2488-2495.
Tsuda K und Rätsch G (Juni-2005) Image Reconstruction by Linear Programming IEEE Transactions on Image Processing 14(6) 737-744.
Tsuda K, Rätsch G und Warmuth M (Juni-2005) Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection Journal of Machine Learning Research 6 995-1018.
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Tsuda K, Uda S, Kin T und Asai K (Februar-2004) Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data Neural Processing Letters 19(1) 63-72.
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Tsuda K, Akaho S, Kawanabe M und Müller KR (Januar-2004) Asymptotic Properties of the Fisher Kernel Neural Computation 16(1) 115-137.
Tsuda K, Akaho S und Asai K (Mai-2003) The em Algorithm for Kernel Matrix Completion with Auxiliary Data Journal of Machine Learning Research 4 67-81.
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Kin T, Kato T, Tsuda K und Asai K (2003) Protein Classification via Kernel Matrix Completion Genome Informatics 14 516-517.
Tsuda K, Kawanabe M, Rätsch G, Sonnenburg S und Müller KR (Oktober-2002) A New Discriminative Kernel from Probabilistic Models Neural Computation 14(10) 2397-2414.
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Tsuda K, Kin T und Asai K (2002) Marginalized kernels for biological sequences Bioinformatics 18(Suppl 1) 268-275.
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Arita M, Tsuda K und Asai K (2002) Modeling splicing sites with pairwise correlations Bioinformatics 18(Suppl 2) 27-34.
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Tsuda K, Sugiyama M und Müller KR (2002) Subspace information criterion for non-quadratic regularizers -- model selection for sparse regressors IEEE Trans Neural Networks 13(1) 70-80.
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Müller K-R, Mika S, Rätsch G, Tsuda K und Schölkopf B (März-2001) An Introduction to Kernel-Based Learning Algorithms IEEE Transactions on Neural Networks 12(2) 181-201.

Beiträge zu Tagungsbänden (33):

Tsuda K und Georgii E (Dezember-2009) Dense module enumeration in biological networks, International Workshop on Statistical-Mechanical Informatics (IW-SMI 2009), Institute of Physics, Bristol, UK, Journal of Physics: Conference Series, 197(1), 1-10.
Georgii E, Tsuda K und Schölkopf B (Juni-2009) Multi-way set enumeration in real-valued tensors, KDD 2009 Workshop on Data Mining using Matrices and Tensors (DMMT '09), ACM Press, New York, NY, USA, 32-41.
Chiappa S, Saigo H und Tsuda K (Mai-2009) A Bayesian Approach to Graph Regression with Relevant Subgraph Selection, Ninth SIAM International Conference on Data Mining (SDM 2009), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 295-304.
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Kashima H, Kato T, Yamanishi Y, Sugiyama M und Tsuda K (Mai-2009) Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction, Ninth SIAM International Conference on Data Mining (SDM 2009), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1100-1110.
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Kashima H, Oyama S, Yamanishi Y und Tsuda K (April-2009) On Pairwise Kernels: An Efficient Alternative and Generalization Analysis In: Advances in Knowledge Discovery and Data Mining, , 13th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Springer, Berlin, Germany, 1030-1037, Series: Lecture Notes in Computer Science ; 5476.
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Tsuda K (Januar-2009) Machine learning with quantum relative entropy, International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008), Institute of Physics, Bristol, UK, Journal of Physics: Conference Series, 143(1), 1-9.
Nowozin S und Tsuda K (Dezember-2008) Frequent Subgraph Retrieval in Geometric Graph Databases, 8th IEEE International Conference on Data Mining (ICDM 2008), IEEE Computer Society, Los Alamitos, CA, USA, 953-958.
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Saigo H und Tsuda K (Dezember-2008) Iterative Subgraph Mining for Principal Component Analysis, 8th IEEE International Conference on Data Mining (ICDM 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1007-1012.
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Saigo H, Krämer N und Tsuda K (August-2008) Partial Least Squares Regression for Graph Mining, 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), ACM Press, New York, NY, USA, 578-586.
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Tsuda K und Kurihara K (April-2008) Graph Mining with Variational Dirichlet Process Mixture Models, Eighth SIAM International Conference on Data Mining (SDM 2008), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, 432-442.
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Tanaka K und Tsuda K (Januar-2008) A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model, International Workshop on Statistical-Mechanical Informatics 2007 (IW-SMI 2007), Institute of Physics, Bristol, UK, Journal of Physics: Conference Series, 95(1), 1-9.
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Nowozin S, BakIr G und Tsuda K (Oktober-2007) Discriminative Subsequence Mining for Action Classification, 11th IEEE International Conference on Computer Vision (ICCV 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923.
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Tsuda K (Juni-2007) Entire Regularization Paths for Graph Data, 24th Annual International Conference on Machine Learning (ICML 2007), ACM Press, New York, NY, USA, 919-926.
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Nowozin S, Tsuda K, Uno T, Kudo T und BakIr G (Juni-2007) Weighted Substructure Mining for Image Analysis, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Ide T und Tsuda K (April-2007) Change-Point Detection using Krylov Subspace Learning, Seventh SIAM International Conference on Data Mining (SDM 2007), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, 515-520.
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Seeger M, Steinke F und Tsuda K (März-2007) Bayesian Inference and Optimal Design in the Sparse Linear Model, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 444-451, Series: JMLR Workshop and Conference Proceedings ; 2.
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Kato T, Murata Y, Miura K, Asai K, Horton PB, Tsuda K und Fujibuchi W (Dezember-2006) Network-based de-noising improves prediction from microarray data, NIPS workshop on New Problems and Methods in Computational Biology, BMC Bioinformatics, 7(Supplement 1), S4.
Saigo H, Kadowaki T und Tsuda K (September-18-2006) A Linear Programming Approach for Molecular QSAR analysis In: MLG 2006, , International Workshop on Mining and Learning with Graphs: in conjunction with ECML/PKDD 2006, Bibliothek der Universität Konstanz, Konstanz, Germany, 85-96.
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Tsuda K und Kudo T (Juni-2006) Clustering Graphs by Weighted Substructure Mining, 23rd International Conference on Machine Learning (ICML 2006), ACM Press, New York, NY, USA, 953-960.
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Tsuda K, Shin H und Schölkopf B (Oktober-2005) Fast Protein Classification with Multiple Networks, Fourth European Conference on Computational Biology / Sixth Meeting of the Spanish Bioinformatics Network (ECCB/JBI'05), Bioinformatics, 21(Supplement 2), 59-65.
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Tsuda K (August-2005) Propagating Distributions on a Hypergraph by Dual Information Regularization, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 920-927.
Tsuda K, Rätsch G und Warmuth MK (Juli-2005) Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1425-1432.
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BakIr G, Zien A und Tsuda K (September-2004) Learning to Find Graph Pre-Images In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 253-261, Series: Lecture Notes in Computer Science ; 3175.
Kato T, Tsuda K, Tomii K und Asai K (August-2004) A New Variational Framework for Rigid-Body Alignment In: Structural, Syntactic, and Statistical Pattern Recognition, , Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), Springer, Berlin, Germany, 171-179, Series: Lecture Notes in Computer Science ; 3138.
Tsuda K und Noble WS (August-2004) Learning kernels from biological networks by maximizing entropy, Twelfth International Conference on Intelligent Systems for Molecular Biology (ISMB 2004), Third European Conference on Computational Biology (ECCB 2004), Oxford University Press, Oxford, UK, Bioinformatics, 20(Supplement 1), i326-i333.
Tsuda K und Rätsch G (Juni-2004) Image Construction by Linear Programming In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 57-64.
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Last updated: Montag, 22.05.2017