# Motoki Shiga

According to our database

Collaborative distances:

^{1}, Motoki Shiga authored at least 14 papers between 2006 and 2015.Collaborative distances:

## Timeline

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## Bibliography

2015

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

2014

Detecting Differentially Coexpressed Genesfrom Labeled Expression Data: A Brief Review.

IEEE/ACM Trans. Comput. Biology Bioinform., 2014

2013

Variational Bayes co-clustering with auxiliary information.

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

2012

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

2011

Clustering genes with expression and beyond.

Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2011

A spectral approach to clustering numerical vectors as nodes in a network.

Pattern Recognition, 2011

2009

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.

Bioinformatics, 2009

2008

Mining significant tree patterns in carbohydrate sugar chains.

Proceedings of the ECCB'08 Proceedings, 2008

2007

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

2006

Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006