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Fingerprint Eiji Takimotoが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。

  • 3 同様のプロファイル
Boolean functions Engineering & Materials Science
Threshold Circuits Mathematics
Decision trees Engineering & Materials Science
Boosting Mathematics
Decision tree Mathematics
Online Optimization Mathematics
Learning algorithms Engineering & Materials Science
Regret Mathematics

ネットワーク 最近の共同研究。丸をクリックして詳細を確認しましょう。

研究成果 1993 2019

Recognition of Japanese historical hand-written characters based on object detection methods

Tang, Y., Hatano, K. & Takimoto, E., 9 20 2019, Proceedings of the 2019 Workshop on Historical Document Imaging and Processing, HIP 2019. Association for Computing Machinery, p. 72-77 6 p. (ACM International Conference Proceeding Series).

研究成果: 著書/レポートタイプへの貢献会議での発言

Labels
Classifiers
Object detection

Special section on discrete mathematics and its applications

Kawachi, A., Yamauchi, Y., Ito, T., Uchizawa, K., Otachi, Y., Ono, H., Kimura, K., Koga, H., Saitoh, T., Shibuya, T., Takimoto, E., Tanigawa, S. I., Nuida, K., Fukushima, K., Fujiwara, H., Mizuki, T., Moriyama, S. & Sadakane, K., 1 1 2019, : : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E102A, 9, 1 p.

研究成果: ジャーナルへの寄稿編集

Discrete mathematics

Succinct representation of linear extensions via MDDs and its application to scheduling under precedence constraints

Miyake, F., Takimoto, E. & hatano, K., 1 1 2019, Combinatorial Algorithms - 30th International Workshop, IWOCA 2019, Proceedings. Colbourn, C. J., Grossi, R. & Pisanti, N. (版). Springer Verlag, p. 365-377 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11638 LNCS).

研究成果: 著書/レポートタイプへの貢献会議での発言

Linear Extension
Precedence Constraints
Decision Diagrams
Scheduling
Flow Time

Boosting over non-deterministic ZDDs

Fujita, T., hatano, K. & Takimoto, E., 1 1 2018, (受理済み/印刷中) : : Theoretical Computer Science.

研究成果: ジャーナルへの寄稿記事

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

Boosting over non-deterministic ZDDs

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

研究成果: 著書/レポートタイプへの貢献会議での発言

Binary decision diagrams
Boosting
Adaptive boosting
Decision Diagrams
Learning algorithms