Publikationen von K Tsuda

Tsuda, K.: Data Mining for Biologists. International Journal of Knowledge Discovery in Bioinformatics 3 (4), S. 1 - 14 (2012)

Kam-Thong, T.; Czamara, D.; Tsuda, K.; Borgwardt, K.; Lewis, C.; Erhardt-Lehmann , A.; Hemmer, B.; Rieckmann, P.; Daake, M.; Weber, F. et al.; Wolf, C.; Ziegler, A.; Pütz, B.; Holsboer , F.; Schölkopf, B.; Müller-Myhsok, B.: EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units. European Journal of Human Genetics 19 (4), S. 465 - 471 (2011)

Georgii, E.; Tsuda, K.; Schölkopf, B.: Multi-way set enumeration in weight tensors. Machine Learning 82 (2), S. 123 - 155 (2011)

Georgii, E.; Dietmann, S.; Uno, T.; Pagel , P.; Tsuda, K.: Enumeration of condition-dependent dense modules in protein interaction networks. Bioinformatics 25 (7), S. 933 - 940 (2009)

Dietmann, S.; Georgii, E.; Antonov, A.; Tsuda, K.; Mewes, H.-W.: The DICS repository: module-assisted analysis of disease-related gene lists. Bioinformatics 25 (6), S. 830 - 831 (2009)

Saigo, H.; Nowozin, S.; Kadowaki, T.; Kudo, T.; Tsuda, K.: gBoost: A Mathematical Programming Approach to Graph Classification and Regression. Machine Learning 75 (1), S. 69 - 89 (2008)

Shin, H.; Tsuda, K.; Schölkopf, B.: Protein Functional Class Prediction With a Combined Graph. Expert Systems with Applications 36 (2,2), S. 3284 - 3292 (2008)

Steinke, F.; Seeger, M.; Tsuda, K.: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Systems Biology 1, 51, S. 1 - 15 (2007)

Saigo, H.; Uno, T.; Tsuda, K.: Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics 23 (18), S. 2455 - 2462 (2007)

Hamada, M.; Tsuda, K.; Kudo , T.; Kin, T.; Asai, K.: Mining frequent stem patterns from unaligned RNA sequences. Bioinformatics 22 (20), S. 2480 - 2487 (2006)

Tabei, Y.; Tsuda, K.; Kin, T.; Asai, K.: SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments. Bioinformatics 22 (14), S. 1723 - 1729 (2006)

Kato, T.; Tsuda, K.; Asai, K.: Selective integration of multiple biological data for supervised network inference. Bioinformatics 21 (10), S. 2488 - 2495 (2005)

Tsuda, K.; Rätsch, G.: Image Reconstruction by Linear Programming. IEEE Transactions on Image Processing 14 (6), S. 737 - 744 (2005)

Tsuda, K.; Rätsch, G.; Warmuth , M.: Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection. The Journal of Machine Learning Research 6, S. 995 - 1018 (2005)

Tsuda, K.; Uda, S.; Kin, T.; Asai, K.: Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. Neural Processing Letters 19, S. 63 - 72 (2004)

Tsuda, K.; Akaho, S.; Kawanabe, M.; Müller, K.: Asymptotic Properties of the Fisher Kernel. Neural computation 16 (1), S. 115 - 137 (2004)

Tsuda, K.; Akaho, S.; Asai, K.: The em Algorithm for Kernel Matrix Completion with Auxiliary Data. The Journal of Machine Learning Research 4, S. 67 - 81 (2003)

Kin, T.; Kato, T.; Tsuda, K.; Asai, K.: Protein Classification via Kernel Matrix Completion. Genome Informatics 14, S. 516 - 517 (2003)

Tsuda, K.; Kawanabe, M.; Rätsch, G.; Sonnenburg, S.; Müller, K.: A New Discriminative Kernel from Probabilistic Models. Neural computation 14 (10), S. 2397 - 2414 (2002)

Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks 12 (2), S. 181 - 201 (2001)