Publications of K Tsuda

Tsuda, K.: Graph Mining with Variational Dirichlet Process Mixture Models. In: 8th SIAM International Conference on Data Mining 2008, pp. 432 - 442 (Eds. Apte, C.; Park, H.; Wang, K.; Zaki, M.). 8th 2008 SIAM International Conference on Data Mining, Atlanta, GA, USA, April 24, 2008 - April 26, 2008. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2008)

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, September 16, 2007 - September 19, 2007. Journal of Physics: Conference Series 95 (1), 012023, pp. 1 - 9 (2008)

Nowozin, S.; BakIr, G.; Tsuda, K.: Discriminative Subsequence Mining for Action Classification. In: 2007 IEEE 11th International Conference on Computer Vision, pp. 1919 - 1923. 11th IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, October 14, 2007 - October 21, 2007. IEEE Service Center, Piscataway, NJ, USA (2007)

Nowozin, S.; Tsuda, K.; Uno , T.; Kudo, T.; BakIr, G.: Weighted Substructure Mining for Image Analysis. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, MN., USA, June 17, 2007 - June 22, 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)

Tsuda, K.: Entire Regularization Paths for Graph Data. In: ICML '07: 24th International Conference on Machine Learning, pp. 919 - 926 (Ed. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)

Ide, T.; Tsuda, K.: Change-Point Detection using Krylov Subspace Learning. In: 2007 SIAM International Conference on Data Mining, pp. 515 - 520 (Eds. Apte, C.; Skillicorn, D.; Liu, B.; Parthasarathy, S.). Seventh SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, USA, April 26, 2007 - April 28, 2007. Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA (2007)

Seeger, M.; Steinke, F.; Tsuda, K.: Bayesian Inference and Optimal Design in the Sparse Linear Model. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 444 - 451 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)

Tsuda, K.; Kudo, T.: Clustering Graphs by Weighted Substructure Mining. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 953 - 960 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)

Kato, T.; Murata, Y.; Miura, K.; Asai , K.; Horton, P.; Tsuda, K.; Fujibuchi, W.: Network-based de-noising improves prediction from microarray data. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Whistler, BC, Canada, December 08, 2006. BMC Bioinformatics 7 (Supplement 1), S4, pp. 1 - 11 (2006)

Tsuda, K.; Shin, H.; Schölkopf, B.: Fast Protein Classification with Multiple Networks. Fourth European Conference on Computational Biology / Sixth Meeting of the Spanish Bioinformatics Network (ECCB/JBI 2005), Madrid, Spain, September 28, 2005 - October 01, 2005. Bioinformatics 21 (Supplement 2), pp. 59 - 65 (2005)

Tsuda, K.: Propagating Distributions on a Hypergraph by Dual Information Regularization. In: ICML '05: 22nd International Conference on Machine Learning, pp. 920 - 927 (Eds. Dzeroski, S.; De Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)

Tsuda, K.; Rätsch, G.; Warmuth, M.: Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. In: Advances in Neural Information Processing Systems 17, pp. 1425 - 1432 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)

BakIr, G.; Zien, A.; Tsuda, K.: Learning to Find Graph Pre-Images. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 253 - 261 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)

Kato, T.; Tsuda, K.; Tomii, K.; Asai, K.: A New Variational Framework for Rigid-Body Alignment. In: Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004, pp. 171 - 179 (Eds. Fred, A.; Caelli, T.; Duin, R.; Campilho, A.; de Ridder, D.). Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), Lisboa, Portugal, August 18, 2004 - August 20, 2004. Springer, Berlin, Germany (2004)

Tsuda, K.; Noble, W.: 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), Glasgow, UK, July 31, 2004 - August 04, 2004. Bioinformatics 20 (Supplement 1), pp. i326 - i333 (2004)

Tsuda, K.; Rätsch, G.: Image Reconstruction by Linear Programming. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, pp. 57 - 64 (Eds. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, December 08, 2003 - December 13, 2003. MIT Press, Cambridge, MA, USA (2004)

Shin, H.; Tsuda, K.; Schölkopf, B.: Protein Functional Class Prediction with a Combined Graph. In: Korean Data Mining Conference 2003, pp. 200 - 219. Korean Data Mining Conference 2003, Seoul, South Korea. (2003)

Tsuda, K.; Kawanabe, M.; Müller, K.-R.: Clustering with the Fisher score. In: Advances in Neural Information Processing Systems 15, pp. 729 - 736 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)

Kashima, H.; Tsuda, K.; Inokuchi, A.: Marginalized Kernels between Labeled Graphs. In: Twentieth International Conference on Machine Learning (ICML 2003), pp. 321 - 328 (Eds. Fawcett , T.; Mishra, N.). Twentieth International Conference on Machine Learning (ICML 2003), Washington, DC, USA, August 21, 2003 - August 24, 2003. AAAI Press, Menlo Park, CA, USA, (2003)

Shervashidze, N.; Tsuda, K.: Logistic Regression for Graph Classification. In NIPS 2008: Mini Symposia & Workshops, p. 75. NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), Whistler, BC, Canada, December 12, 2008. (2008)