Search results

Journal Article (7)

1.
Journal Article
Saigo, H.; Nowozin, S.; Kadowaki, T.; Kudo, T.; Tsuda, K.: gBoost: A Mathematical Programming Approach to Graph Classification and Regression. Machine Learning 75 (1), pp. 69 - 89 (2008)
2.
Journal Article
Saigo, H.; Uno, T.; Tsuda, K.: Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics 23 (18), pp. 2455 - 2462 (2007)
3.
Journal Article
Saigo, H.; Vert, J.-P.; Akutsu, T.: Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinformatics 7, 246, pp. 1 - 12 (2006)
4.
Journal Article
Cheng, J.; Saigo, H.; Baldi, P.: Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching. Proteins: Structure, Function, and Bioinformatics 62 (3), pp. 617 - 629 (2006)
5.
Journal Article
Matsuda, S.; Vert, J.-P.; Saigo, H.; Ueda , N.; Toh, H.; Akutsu, T.: A novel representation of protein sequences for prediction of subcellular location using support vector machines. Protein Science 14 (11), pp. 2804 - 2813 (2005)
6.
Journal Article
Ralaivola, L.; Swamidass , J.; Saigo, H.; Baldi, P.: Graph Kernels for Chemical Informatics. Neural networks 18 (8), pp. 1093 - 1110 (2005)
7.
Journal Article
Saigo, H.; Vert , J.-P.; Ueda, N.; Akutsu, T.: Protein homology detection using string alignment kernels. Bioinformatics 20 (11), pp. 1682 - 1689 (2004)

Book Chapter (1)

8.
Book Chapter
Vert, J.-P.; Saigo, H.; Akutsu, T.: Local Alignment Kernels for Biological Sequences. In: Kernel Methods in Computational Biology, pp. 131 - 153 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.-P.). MIT Press, Cambridge, MA, (2004)

Conference Paper (4)

9.
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)
10.
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)
11.
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)
12.
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)

Talk (3)

13.
Talk
Saigo, H.; Hattori, M.; Tsuda, K.: Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada (2007)
14.
Talk
Tsuda, K.; Saigo, H.; Nowozin, S.; Kudo , T.; Uno, T.: Mathematical Programming Methods for Learning from Structured Data: Applications to Molecular QSAR Analysis, HIV Drug Resistance Prediction, and Image Categorisation. Joint Bioinformatics Education Program: Kyoto University and University of Tokyo, Kyoto, Japan (2007)
15.
Talk
Saigo, H.; Kadowaki , T.; Kudo, T.; Tsuda, K.: Graph boosting for molecular QSAR analysis. NIPS 2006 Workshop on New Problems and Methods in Computational Biology (MLCB 2006), Vancouver, BC, Canada (2006)

Poster (1)

16.
Poster
Saigo, H.; Uno, T.; Tsuda, K.: Mining complex genotypic features for predicting HIV-1 drug resistance. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)

Thesis - PhD (1)

17.
Thesis - PhD
Saigo, H.: Local Alignment Kernels for Protein Homology Detection. Dissertation, Kyoto University, Kyoto, Japan (2006)
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