Research Output per year

## 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

Decoding
Engineering & Materials Science

Carbon nanotube field effect transistors
Engineering & Materials Science

Logic circuits
Engineering & Materials Science

Failure analysis
Engineering & Materials Science

Circuit Design
Mathematics

Maximum likelihood
Engineering & Materials Science

Maximum Likelihood
Mathematics

Networks (circuits)
Engineering & Materials Science

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

## Research Output 1999 2018

## 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 proceeding › 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 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 proceeding › Conference contribution

Distance Metric

Centroid

Regularization

Norm

Pattern recognition

## Probabilistic fault diagnosis and its analysis in multicomputer systems

Kobayashi, M., Matsushima, T. & Hirasawa, S., 2018 Dec 1, In : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E101A, 12, p. 2072-2081 10 p.Research output: Contribution to journal › Article

Multicomputers

Fault Diagnosis

Failure analysis

Unit

Error Probability

## 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 proceeding › Conference 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 proceeding › Conference contribution

coding

symbol

Asymptotic analysis

Trees (mathematics)

time series