Suchergebnisse

Buch (1)

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

Buchkapitel (6)

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

Konferenzband (1)

28.
Konferenzband
Machine Learning in Computational Biology. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, 07. Dezember 2007 - 08. Dezember 2007. (2007)

Konferenzbeitrag (30)

29.
Konferenzbeitrag
Tsuda, K.; Georgii, E.: Dense module enumeration in biological networks. International Workshop on Statistical-Mechanical Informatics (IW-SMI 2009), Kyoto, Japan, 13. September 2009 - 16. September 2009. Journal of Physics: Conference Series 197 (1), 012012, S. 1 - 10 (2009)
30.
Konferenzbeitrag
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), S. 32 - 41 (Hg. Ding, T.; Li, C.). KDD 2009 Workshop on Data Mining using Matrices and Tensors, Paris, France, 28. Juni 2009. ACM Press, New York, NY, USA (2009)
31.
Konferenzbeitrag
Chiappa, S.; Saigo, H.; Tsuda, K.: A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In: 2009 SIAM International Conference on Data Mining, S. 295 - 304 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2009)
32.
Konferenzbeitrag
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), S. 1099 - 1110 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). 2009 SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics (2009)
33.
Konferenzbeitrag
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, S. 1030 - 1037 (Hg. Theeramunkong, T.; Kijsirikul, B.; Cercone, N.; Ho, T.-B.). 13th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, 27. April 2009 - 30. April 2009. Springer, Berlin, Germany (2009)
34.
Konferenzbeitrag
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, S. 85 - 96 (Hg. Gärtner, T.; Garriga, G.; Meinl, T.). International Workshop on Mining and Learning with Graphs 2006 (MLG 2006), Berlin, Germany, 18. September 2006. Bibliothek der Universität Konstanz, Konstanz, Germany (2009)
35.
Konferenzbeitrag
Tsuda, K.: Machine learning with quantum relative entropy. In: International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008), 012021, S. 1 - 9 (Hg. Hayashi, H.; Inoue, J.-I.; Kabashima, Y.; Tanaka, K.). International Workshop on Statistical-Mechanical Informatics (IW-SMI 2008), Sendai, Japan, 14. September 2008 - 17. September 2008. Institute of Physics, Bristol, UK (2009)
36.
Konferenzbeitrag
Nowozin, S.; Tsuda, K.: Frequent Subgraph Retrieval in Geometric Graph Databases. In: 2008 Eighth IEEE International Conference on Data Mining, S. 953 - 958 (Hg. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, 15. Dezember 2008 - 19. Dezember 2008. IEEE, Piscataway, NJ, USA (2008)
37.
Konferenzbeitrag
Saigo, H.; Tsuda, K.: Iterative Subgraph Mining for Principal Component Analysis. In: 2008 Eighth IEEE International Conference on Data Mining, S. 1007 - 1012 (Hg. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, 16. Dezember 2008 - 19. Dezember 2008. IEEE, Piscataway, NJ, USA (2008)
38.
Konferenzbeitrag
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, S. 578 - 586 (Hg. Li, Y.; Liu, B.; Sarawagi, S.). 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, USA, 24. August 2008 - 27. August 2008. ACM Press, New York, NY, USA (2008)
39.
Konferenzbeitrag
Tsuda, K.: Graph Mining with Variational Dirichlet Process Mixture Models. In: 8th SIAM International Conference on Data Mining 2008, S. 432 - 442 (Hg. Apte, C.; Park, H.; Wang, K.; Zaki, M.). 8th 2008 SIAM International Conference on Data Mining, Atlanta, GA, USA, 24. April 2008 - 26. April 2008. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2008)
40.
Konferenzbeitrag
Tanaka, K.; Tsuda, K.: A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model. International Workshop on Statistical-Mechanical Informatics 2007 (IW-SMI 2007), Kyoto, Japan, 16. September 2007 - 19. September 2007. Journal of Physics: Conference Series 95 (1), 012023, S. 1 - 9 (2008)
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