Researcher: Retrieva, Inc.
EMAIL: daisuke.kimura AT retrieva.jp
Machine learning with structured data such as sequences, trees, graphs
Application of succinct data structure and grammar compression to machine learningMachine learning with structured data such as sequences, trees, graphs
M.S. degree (Supervisor: Associate Professor Hisashi Kashima), The University of Tokyo, 2010/4-2012/3.
B.E. degree (Supervisor: Associate Professor Kumiko Tanaka-Ishii), The University of Tokyo, 2006/4-2010/3.
Research Fellowship for Young Scientists (DC1), 2012/4-2015/3
Technical Staff, Riken Center for Advanced Intelligence Project, 2017/8-2019/3
Researcher, Retrieva, Inc. 2019/4-
Daisuke Kimura and Hisashi Kashima: Fast Computation of Subpath Kernel for Trees. In Proc. 29th International Conference on Machine Learning (ICML'12), pp. 393-400, Edinburgh, Scotland, June 2012. [PDF][spotlight] [poster]
Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya and Hisashi Kashima: A Subpath Kernel for Rooted Unordered Trees, Journal of Japanese Society of Artificial Intelligence, Vol.26, No.3, pp.473-482, 2011. [in Japanese] [PDF]
Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya and Hisashi Kashima: A Subpath Kernel for Rooted Unordered Trees. In Proc. 15th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'11), pp. 62-74, Shenzhen, China, May 2011. [Slide]
Daisuke Kimura and Kumiko Tanaka-Ishii: Study on Constants of Natural Language Texts. Journal of Natural Language Processing, Vol.18, No2, pp.119-138, 2011. [PDF] (ANLP Best Paper Award)
Kernel Methods for Structured Data and Succinct Data Structures, Kashima Lab Seminar, Kyoto University, Hosted by Prof. Hisashi Kashima, April 21, 2014.
Kernel Methods for Tree-structured Data, PhD Seminar, University of Leicester, Hosted by Prof. Rajeev Raman and Muhammad Muzammal, July 2, 2012.