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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1996 2018

  • 68 Citations
  • 4 h-Index
  • 32 Article
  • 20 Conference contribution

Collaborative filtering based on the latent class model for attributes

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 Feb 2, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-5 5 p.

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

Distance Metric
Centroid
Regularization
Norm
Pattern recognition

System evaluation of construction methods for multi-class problems using binary classifiers

Hirasawa, S., Kumoi, G., Kobayashi, M., Goto, M. & Inazumi, H., 2018 Jan 1, Trends and Advances in Information Systems and Technologies. Springer-Verlag, p. 909-919 11 p. (Advances in Intelligent Systems and Computing; vol. 746).

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

Classifiers
Character recognition

A Bayes prediction algorithm for model class composed of several subclasses

Goto, M., Kobayashi, M., Mikawa, K. & Hirasawa, S., 2017 Feb 2, Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016. Institute of Electrical and Electronics Engineers Inc., p. 121-125 5 p. 7840398

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

coding
symbol
Asymptotic analysis
Trees (mathematics)
time series

Adaptive prediction method based on alternating decision forests with considerations for generalization ability

Misawa, S., Mikawa, K. & Goto, M., 2017 Sep 1, In : Industrial Engineering and Management Systems. 16, 3, p. 384-391 8 p.

Research output: Contribution to journalArticle

ability
learning
business management
costs
Prediction