According to our database1, Motoki Shiga
Legend:Book In proceedings Article PhD thesis Other
Non-Negative Matrix Factorization with Auxiliary Information on Overlapping Groups.
IEEE Trans. Knowl. Data Eng., 2015
Direct conditional probability density estimation with sparse feature selection.
Machine Learning, 2015
Detecting Differentially Coexpressed Genesfrom Labeled Expression Data: A Brief Review.
IEEE/ACM Trans. Comput. Biology Bioinform., 2014
Variational Bayes co-clustering with auxiliary information.
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013
A Variational Bayesian Framework for Clustering with Multiple Graphs.
IEEE Trans. Knowl. Data Eng., 2012
Efficient semi-supervised learning on locally informative multiple graphs.
Pattern Recognition, 2012
Clustering genes with expression and beyond.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2011
A spectral approach to clustering numerical vectors as nodes in a network.
Pattern Recognition, 2011
Upper bound for variational free energy of Bayesian networks.
Machine Learning, 2009
Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.
Mining significant tree patterns in carbohydrate sugar chains.
Proceedings of the ECCB'08 Proceedings, 2008
A spectral clustering approach to optimally combining numericalvectors with a modular network.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Annotating gene function by combining expression data with a modular gene network.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006