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MASASHI SUGIYAMA - C-LOVe CREATORS
- http://c-love-creators.com/gallery/masashi-sugiyama/
- C-LOVe CREATORS, Aerosmichou Co., Inc. © NEWS & INFORMATION; Photographer. TAKASHI HIRANO. Profile; MASASHI SUGIYAMA. Profile
Masashi Sugiyama | The MIT Press
- https://mitpress.mit.edu/contributors/masashi-sugiyama
- Masashi Sugiyama and Motoaki Kawanabe 2012. Theory, algorithms, and applications of machine learning techniques to overcome “covariate shift” non-stationarity. As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually ...
Performance | Masashi Sugiyama
- https://www.masashisugiyama.com/performance
- 定説を覆すような優れた科学技術の発明や発見は偶然や失敗の経験から生まれることが多い。. このような経緯で業績を積んだ科学者らがよく口にする言葉が「Serendipity」（セレンディピィティ）。. これは思いがけない重要なものを偶然の中から発見する ...
Masashi Sugiyama, Ph.D.
- https://ircn.jp/en/mission/people/masashi_sugiyama
- Masashi Sugiyama, Ph.D. Principal Investigator Computation Professor Department of Complexity Science and Engineering, Graduate ... Sugiyama, M. …
[Masashi Sugiyama's Web Page]
- http://www.ms.k.u-tokyo.ac.jp/sugi/
- Masashi Sugiyama. Director, RIKEN Center for Advanced Intelligence Project . Professor, Department of Complexity Science and Engineering , Graduate School of Frontier Sciences , The University of Tokyo . Affiliated Professor, Department of Computer Science , Graduate School of Information Science and Technology , The University of Tokyo .
Masashi Sugiyama: H-index & Awards - Academic Profile
- https://research.com/u/masashi-sugiyama
- Masashi Sugiyama usually deals with Pattern recognition and limits it to topics linked to Least squares and Covariate shift and Partial least squares regression. In the field of Machine learning, his study on Unsupervised learning, Dimensionality reduction and Computational learning theory overlaps with subjects such as Memorization. His ...
Masashi Sugiyama - ACL Anthology
- https://aclanthology.org/people/m/masashi-sugiyama/
- 2021. pdf bib abs. Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning. Alon Jacovi | Gang Niu | Yoav Goldberg | Masashi Sugiyama. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume.
Masashi Sugiyama | OpenReview
- https://openreview.net/profile?id=~Masashi_Sugiyama1
- Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama. Apr 05, 2022 (edited Apr 05, 2022) OpenReview Archive Direct Upload. Readers: Everyone.
[Masashi Sugiyama's Web Page] - 東京大学
- http://www.ms.k.u-tokyo.ac.jp/sugi/publications.html
- Masashi Sugiyama's Publications [ Journal Papers, Major Conference Papers, Authored Books, Edited Books, Invited Review Articles, Others, Patents] [ BibTeX: English, Japanese] NOTE: The articles available below are not necessarily equivalent to those published in journals and proceedings. Please refer to the respective journals and proceedings ...
Masashi Sugiyama | DeepAI
- https://deepai.org/profile/masashi-sugiyama
- Hey Masashi Sugiyama! Claim your profile and join one of the world's largest A.I. communities claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn
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