17 results
(BibTeX)

**A Bayesian Approach to Graph Regression with Relevant Subgraph Selection**
In *SIAM International Conference on Data Mining*, pages: 295-304, (Editors: Park, H. , S. Parthasarathy, H. Liu), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, SDM, May 2009 (inproceedings)

**Partial Least Squares Regression for Graph Mining**
In *KDD2008*, pages: 578-586, (Editors: Li, Y. , B. Liu, S. Sarawagi), ACM Press, New York, NY, USA, 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2008 (inproceedings)

**gBoost: A Mathematical Programming Approach to Graph Classification and Regression**
*Machine Learning*, 75(1):69-89, November 2008 (article)

**Iterative Subgraph Mining for Principal Component Analysis**
In *ICDM 2008*, pages: 1007-1012, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Mining complex genotypic features
for predicting HIV-1 drug resistance**
*Bioinformatics*, 23(18):2455-2462, September 2007 (article)

**Regression with Intervals**
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)

**A Linear Programming Approach for Molecular QSAR analysis**
In *MLG 2006*, pages: 85-96, (Editors: Gärtner, T. , G. C. Garriga, T. Meinl), International Workshop on Mining and Learning with Graphs, September 2006, Best Paper Award (inproceedings)

**Graph boosting for molecular QSAR analysis**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Local Alignment Kernels for Protein Homology Detection**
Biologische Kybernetik, Kyoto University, Kyoto, Japan, 2006 (phdthesis)

**Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching**
*Proteins*, 62(3):617-629, February 2006 (article)

**Functional census of mutation sequence spaces: The example of p53 cancer rescue mutants**
*IEEE Transactions on Computational Biology and Bioinformatics*, 3(2):114-125, April 2006 (article)

**Optimizing amino acid substitution matrices with a local alignment kernel**
*BMC Bioinformatics*, 7(246):1-12, May 2006 (article)

**Graph Kernels for Chemical Informatics**
*Neural Networks*, 18(8):1093-1110, 2005 (article)

**A novel representation of protein sequences for prediction of subcellular location using support vector machines**
*Protein Science*, 14, pages: 2804-2813, 2005 (article)

**Local Alignment Kernels for Biological Sequences**
In *Kernel Methods in Computational Biology*, pages: 131-153, MIT Press, Cambridge, MA,, 2004 (inbook)

**Protein homology detection using string alignment kernels**
*Bioinformatics*, 20(11):1682-1689, 2004 (article)