Suchergebnisse

Zeitschriftenartikel (7)

1.
Zeitschriftenartikel
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)
2.
Zeitschriftenartikel
Saigo, H.; Uno, T.; Tsuda, K.: Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics 23 (18), S. 2455 - 2462 (2007)
3.
Zeitschriftenartikel
Saigo, H.; Vert, J.-P.; Akutsu, T.: Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinformatics 7, 246, S. 1 - 12 (2006)
4.
Zeitschriftenartikel
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), S. 617 - 629 (2006)
5.
Zeitschriftenartikel
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), S. 2804 - 2813 (2005)
6.
Zeitschriftenartikel
Ralaivola, L.; Swamidass , J.; Saigo, H.; Baldi, P.: Graph Kernels for Chemical Informatics. Neural networks 18 (8), S. 1093 - 1110 (2005)
7.
Zeitschriftenartikel
Saigo, H.; Vert , J.-P.; Ueda, N.; Akutsu, T.: Protein homology detection using string alignment kernels. Bioinformatics 20 (11), S. 1682 - 1689 (2004)

Buchkapitel (1)

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

Konferenzbeitrag (4)

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

Vortrag (3)

13.
Vortrag
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.
Vortrag
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.
Vortrag
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)

Hochschulschrift - Doktorarbeit (1)

17.
Hochschulschrift - Doktorarbeit
Saigo, H.: Local Alignment Kernels for Protein Homology Detection. Dissertation, Kyoto University, Kyoto, Japan (2006)
Zur Redakteursansicht