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  • 1 同様のプロファイル
Crystal growth Engineering & Materials Science
Kernel Regression Mathematics
Statistical Manifold Mathematics
Crystals Engineering & Materials Science
kernel Mathematics
Efficient Estimator Mathematics
Collaborative filtering Engineering & Materials Science
Partial differential equations Engineering & Materials Science

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 2001 2016

  • 70 引用
  • 5 h指数
  • 7 Conference contribution
  • 5 Article

Flattening the density gradient for eliminating spatial centrality to reduce hubness

Hara, K., Suzuki, I., Kobayashi, K., Fukumizu, K. & Radovanovíc, M., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1659-1665 7 p.

研究成果: Conference contribution

Localized centering: Reducing hubness in large-sample data

Hara, K., Suzuki, I., Shimbo, M., Kobayashi, K., Fukumizu, K. & Radovanovic, M., 2015 6 1, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, 巻 4. p. 2645-2651 7 p.

研究成果: Conference contribution

1 引用 (Scopus)

Reducing hubness: A cause of vulnerability in recommender systems

Hara, K., Suzuki, I., Kobayashi, K. & Fukumizu, K., 2015 8 9, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 815-818 4 p.

研究成果: Conference contribution

Collaborative filtering
Recommender systems
Data storage equipment

Reducing hubness for kernel regression

Hara, K., Suzuki, I., Kobayashi, K., Fukumizu, K. & Radovanović, M., 2015, Similarity Search and Applications - 8th International Conference, SISAP 2015, Proceedings. Springer Verlag, 巻 9371. p. 339-344 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9371).

研究成果: Conference contribution

Kernel Regression
kernel
Multicollinearity
Centrality
Feature Space

Statistical analysis via the curvature of data space

Kobayashi, K., Mitsuru, O. & Wynn, H. P., 2015 1 1, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2014. Mohammad-Djafari, A., Barbaresco, F. & Barbaresco, F. (版). American Institute of Physics Inc., p. 97-104 8 p. (AIP Conference Proceedings; 巻数 1641).

研究成果: Conference contribution

statistical analysis
metric space
curvature
cones
theorems