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Fingerprint Dive into the research topics where kohei hatano is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Boosting Mathematics
Online Optimization Mathematics
Regret Mathematics
Adaptive boosting Engineering & Materials Science
Permutation Mathematics
Linear Optimization Mathematics
Prediction Mathematics
Binary decision diagrams Engineering & Materials Science

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Research Output 2001 2019

Combinatorial Online Prediction

hatano, K., Mar 8 2019, Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018. Institute of Electrical and Electronics Engineers Inc., p. 40-44 5 p. 8664224. (Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018).

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

1 Citation (Scopus)

Boosting over non-deterministic ZDDs

Fujita, T., hatano, K. & Takimoto, E., Jan 1 2018, WALCOM: Algorithms and Computation - 12th International Conference, WALCOM 2018, Proceedings. Rahman, M. S., Sung, W-K. & Uehara, R. (eds.). Springer Verlag, p. 195-206 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10755 LNCS).

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

Binary decision diagrams
Boosting
Adaptive boosting
Decision Diagrams
Learning algorithms

Boosting over non-deterministic ZDDs

Fujita, T., hatano, K. & Takimoto, E., Jan 1 2018, (Accepted/In press) In : Theoretical Computer Science.

Research output: Contribution to journalArticle

Binary decision diagrams
Boosting
Adaptive boosting
Decision Diagrams
Learning algorithms
1 Citation (Scopus)

Can machine learning techniques provide better learning support for elderly people?

hatano, K., Jan 1 2018, Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Konomi, S. & Streitz, N. (eds.). Springer Verlag, p. 178-187 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10922 LNCS).

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

Elderly People
Learning systems
Machine Learning
Decision making
Feedback
1 Citation (Scopus)

Decision diagrams for solving a job scheduling problem under precedence constraints

Matsumoto, K., hatano, K. & Takimoto, E., Jun 1 2018, 17th Symposium on Experimental Algorithms, SEA 2018. D'Angelo, G. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, (Leibniz International Proceedings in Informatics, LIPIcs; vol. 103).

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

Scheduling
Processing
Experiments