Publications of K Tsuda

Book (1)

21.
Book
Schölkopf, B.; Tsuda, K.; Vert, J.-P.: Kernel Methods in Computational Biology. MIT Press, Cambridge, MA, USA (2004), 400 pp.

Book Chapter (6)

22.
Book Chapter
Tsuda, K.: Data Mining for Biologists. In: Biological Data Mining in Protein Interaction Networks, 2, pp. 14 - 27 (Eds. Ng, S.-K.; Li, X.-L.). Medical Information Science Reference, Hershey, PA, USA (2009)
23.
Book Chapter
Shin, H.; Tsuda, K.: Prediction of Protein Function from Networks. In: Semi-Supervised Learning, 20, pp. 361 - 376 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)
24.
Book Chapter
Kashima, H.; Tsuda, K.; Inokuchi, A.: Kernels for graphs. In: Kernel Methods in Computational Biology, pp. 155 - 170 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.-P.). MIT Press, Cambridge, MA, USA (2004)
25.
Book Chapter
Kin, T.; Kato, T.; Tsuda, K.: Protein Classification via Kernel Matrix Completion. In: Kernel Methods in Computational Biology, pp. 261 - 274 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.-P.). MIT Press, Cambridge, MA, USA (2004)
26.
Book Chapter
Vert, J.; Tsuda, K.; Schölkopf, B.: A Primer on Kernel Methods. In: Kernel methods in computational biology, pp. 35 - 70 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.). MIT Press, Cambridge, MA, USA (2004)
27.
Book Chapter
Müller, K.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. In: Handbook of neural network signal processing: Neural network signal processing, 4, pp. 95 - 134 (Eds. Hu, Y.; Hwang, J.-N.; Perry, S.). CRC Press, Boca Raton, FL, USA (2002)

Proceedings (3)

28.
Proceedings
Chechik, G.; Leslie, C.; Noble, W.; Rätsch, G.; Morris, Q.; Tsuda, K. (Eds.): NIPS workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 8). NIPS Workshop on New Problems and Methods in Computational Biology 2006, Whistler, Canada, December 08, 2006. (2007)
29.
Proceedings
Machine Learning in Computational Biology. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, December 07, 2007 - December 08, 2007. (2007)
30.
Proceedings
Chechik, G.; Leslie, C.; Rätsch, G. (Eds.): NIPS Workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 7). NIPS Workshop on New Problems and Methods in Computational Biology 2004, Whistler, Canada, December 08, 2004. (2006)

Conference Paper (29)

31.
Conference Paper
Tsuda, K.; Georgii, E.: Dense module enumeration in biological networks. International Workshop on Statistical-Mechanical Informatics (IW-SMI 2009), Kyoto, Japan, September 13, 2009 - September 16, 2009. Journal of Physics: Conference Series 197 (1), 012012, pp. 1 - 10 (2009)
32.
Conference Paper
Georgii, E.; Tsuda, K.; Schölkopf, B.: Multi-way set enumeration in real-valued tensors. In: Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009), pp. 32 - 41 (Eds. Ding, T.; Li, C.). KDD 2009 Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009. ACM Press, New York, NY, USA (2009)
33.
Conference Paper
Chiappa, S.; Saigo, H.; Tsuda, K.: A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In: 2009 SIAM International Conference on Data Mining, pp. 295 - 304 (Eds. Park, H.; Parthasarathy, S.; Liu, H.). SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, April 30, 2009 - May 02, 2009. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2009)
34.
Conference Paper
Kashima, H.; Kato, T.; Yamanishi , Y.; Sugiyama, M.; Tsuda, K.: Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. In: 2009 SIAM International Conference on Data Mining (SDM 2009), pp. 1099 - 1110 (Eds. Park, H.; Parthasarathy, S.; Liu, H.). 2009 SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, April 30, 2009 - May 02, 2009. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics (2009)
35.
Conference Paper
Kashima, H.; Oyama, S.; Yamanishi, Y.; Tsuda, K.: On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. In: Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009, pp. 1030 - 1037 (Eds. Theeramunkong, T.; Kijsirikul, B.; Cercone, N.; Ho, T.-B.). 13th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, April 27, 2009 - April 30, 2009. Springer, Berlin, Germany (2009)
36.
Conference Paper
Saigo, H.; Kadowaki, T.; Tsuda, K.: A Linear Programming Approach for Molecular QSAR analysis. In: MLG 2006: Proceedings of the International Workshop on Mining and Learning with Graphs in conjunction with ECML/PKDD 2006, pp. 85 - 96 (Eds. Gärtner, T.; Garriga, G.; Meinl, T.). International Workshop on Mining and Learning with Graphs 2006 (MLG 2006), Berlin, Germany, September 18, 2006. Bibliothek der Universität Konstanz, Konstanz, Germany (2009)
37.
Conference Paper
Tsuda, K.: Machine learning with quantum relative entropy. In: International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008), 012021, pp. 1 - 9 (Eds. Hayashi, H.; Inoue, J.-I.; Kabashima, Y.; Tanaka, K.). International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008), Sendai, Japan, September 14, 2008 - September 17, 2008. Institute of Physics, Bristol, UK (2009)
38.
Conference Paper
Nowozin, S.; Tsuda, K.: Frequent Subgraph Retrieval in Geometric Graph Databases. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 953 - 958 (Eds. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 15, 2008 - December 19, 2008. IEEE, Piscataway, NJ, USA (2008)
39.
Conference Paper
Saigo, H.; Tsuda, K.: Iterative Subgraph Mining for Principal Component Analysis. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 1007 - 1012 (Eds. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 16, 2008 - December 19, 2008. IEEE, Piscataway, NJ, USA (2008)
40.
Conference Paper
Saigo, H.; Krämer, N.; Tsuda, K.: Partial Least Squares Regression for Graph Mining. In: KDD '08: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 578 - 586 (Eds. Li, Y.; Liu, B.; Sarawagi, S.). 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, USA, August 24, 2008 - August 27, 2008. ACM Press, New York, NY, USA (2008)
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