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Research Output

  • 1005 Citations
  • 11 h-Index
  • 35 Conference contribution
  • 16 Article
  • 3 Paper
  • 3 Conference article

Minimum Description Length Principle in Supervised Learning with Application to Lasso

Kawakita, M., Kawakita, M. & Takeuchi, J., Jul 2020, In : IEEE Transactions on Information Theory. 66, 7, p. 4245-4269 25 p., 9103589.

Research output: Contribution to journalArticle

Open Access
  • A fast algorithm for constructing phylogenetic trees with application to IoT malware clustering

    He, T., Han, C., Isawa, R., Takahashi, T., Kijima, S., Takeuchi, J. & Nakao, K., Jan 1 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer, p. 766-778 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11953 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Asymptotic Behavior of Typical Sets and the Smallest High Probability Set

    Eto, M., Kawakita, M. & Takeuchi, J., Mar 8 2019, Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018. Institute of Electrical and Electronics Engineers Inc., p. 717-721 5 p. 8664327. (Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Dynamics of Damped Approximate Message Passing Algorithms

    Mimura, K. & Takeuchi, JI., Aug 2019, 2019 IEEE Information Theory Workshop, ITW 2019. Institute of Electrical and Electronics Engineers Inc., 8989237. (2019 IEEE Information Theory Workshop, ITW 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families

    Miyamoto, K., Barron, A. R. & Takeuchi, J., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1442-1446 5 p. 8849350. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution