• 74 引用
  • 4 h指数
19962019
Pureに変更を加えた場合、すぐここに表示されます。

Fingerprint Masayuki Goto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
Vector spaces Engineering & Materials Science
Document Classification Mathematics
Collaborative filtering Engineering & Materials Science
Bayes Mathematics
Distance Metric Mathematics
Asymptotic analysis Engineering & Materials Science
Latent Class Model Mathematics
Customers 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 1996 2019

  • 74 引用
  • 4 h指数
  • 34 Article
  • 21 Conference contribution

A Visualization System of the Contribution of Learners in Software Development PBL Using GitHub

Miyashita, Y., Hazeyama, A., Hashiura, H., Goto, M. & Hirasawa, S., 2019 5 21, Proceedings - 25th Asia-Pacific Software Engineering Conference, APSEC 2018. IEEE Computer Society, p. 695-696 2 p. 8719425. (Proceedings - Asia-Pacific Software Engineering Conference, APSEC; 巻数 2018-December).

研究成果: Conference contribution

Software engineering
Visualization
Education
interaction
divergence
newspaper
simulation
Document classification
Latent Class Model
Seasonality
Customers
Clustering
Marketing

Collaborative filtering based on the latent class model for attributes

Kobayashi, M., Mikawa, K., Goto, M., Matsushima, T. & Hirasawa, S., 2018 1 16, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Institute of Electrical and Electronics Engineers Inc., 巻 2018-January. p. 893-896 4 p.

研究成果: Conference contribution

Collaborative filtering
Marketing
Statistical Models

Distance metric learning using each category centroid with nuclear norm regularization

Mikawa, K., Kobayashi, M., Goto, M. & Hirasawa, S., 2018 2 2, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 巻 2018-January. p. 1-5 5 p.

研究成果: Conference contribution

Distance Metric
Centroid
Regularization
Norm
Pattern recognition