- Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama, Proc. of The 37th International Conference on Machine Learning (ICML 2020), to appear (Acceptance rate 22%). - Mining Physical/Chemical Properties from Nano-Scale Areas Using STEM Spectroscopic Methods and Informatics Techniques
Shunsuke Muto, Jakob Spiegelberg, Motoki Shiga, Masahiro Ohtsuka, Jan Rusz
Proceedings on the 10th Pacific Rim International Conference on Advanced Materials and Processing, pp.720-729, Xi’an, China, August 2019. - Direct Conditional Probability Density Estimation with Sparse Feature Selection
Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama
Proceedings on European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD2015), Porto, Portugal, September 2015. - Variational Bayes Co-clustering with Auxiliary Information
Motoki Shiga, Hiroshi Mamitsuka
Proceedings on the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust2013), pp. 1-4, Chicago, Illinois, USA, August 2013. - Variational Bayes Learning over Multiple Graphs
Motoki Shiga, Hiroshi Mamitsuka
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing 2010(MLSP2010), pp. 166-171, Kittila, Finland, August 2010. (採択率30% (=36/122)) - On the Performance of Methods for Finding a Switching Mechanism in Gene Expression
Mitsunori Kayano, Ichigaku Takigawa, Motoki Shiga, Koji Tsuda, Hiroshi Mamitsuka
Proceedings of the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB2010), Kyoto, Japan, July 2010. (Genome Informatics, Vol.24, pp.69-83, 2010. [Link]) - Annotating Gene Functions with Integrative Spectral Clustering on Microarray Expressions and Sequences
Limin Li, Motoki Shiga, Wai-ki Ching, Hiroshi Mamitsuka
Proceedings of the 9th Annual International Workshop on Bioinformatics and Systems Biology (IBSB2009), Boston, MA, USA, July 2009. (Genome Informatics, Vol.22, pp.95-120, 2009. [Link]) - Mining Significant Tree Patterns in Carbohydrate Sugar Chains
Kosuke Hashimoto, Ichigaku Takigawa, Motoki Shiga, Minoru Kanehisa, Hiroshi Mamitsuka
Proceedings of the 7th European Conference on Computational Biology (ECCB2008) Sardinia, Italy, September 2008. (Bioinformatics, Vol. 24, i167-i173, 2008 [PubMed])(採択率19% (=36/186) ) - A Spectral Clustering Approach to Optimally Combining Numerical Vectors with a Modular Network
Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2007), pp.647-656, San Jose, CA, USA, August 2007.[ACM] (採択率19% (=111/573)) - Annotating Gene Function by Combining Expression Data with a Modular Gene Network
Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka
Proceedings of the 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB2007)), Wien, Austria, July 2007. (Bioinformatics, Vol.23, i468-i478, 2007 [PubMed]) (採択率15% (=66/418)) - Upper Bounds for Variational Stochastic Complexities of Bayesian Networks
Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2006), Burgos, Spain, September 2006. (Lecture Notes in Computer Science (LNCS), vol. 4424, pp.139-146, 2006) - An Optimal Entropy Estimator for Discrete Random Variables
Motoki Shiga, Yasunari Yokota
Proceedings of the 18th International Joint Conference on Neural Networks (IJCNN2005), pp.1280-1285, Montreal, Canada, July 2005.
本発表に関する旅費を井上科学振興財団より補助していただきました。 - Error Analysis of Entropy Estimator for A Memory-less Information Source
Motoki Shiga, Yasunari Yokota
Proceedings of the International Workshop on Nonlinear Signal and Image Processing 2005 (NSIP2005), pp.99-104, Sapporo, Japan, May 2005