Papers 23
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A note on the k-means clustering for missing data
Yoshikazu Terada, Xin Guan
Transactions on Machine Learning Research p. 1-12 2025/06 Research paper (scientific journal)
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Semiparametric adaptive estimation under informative sampling
Kosuke Morikawa, Yoshikazu Terada, Jae Kwang Kim
The Annals of Statistics Vol. 53 No. 3 2025/06/01 Research paper (scientific journal)
Publisher: Institute of Mathematical Statistics
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Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi
Machine Learning: Science and Technology Vol. 5 No. 3 p. 035028-035028 2024/07/26 Research paper (scientific journal)
Publisher: IOP Publishing
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重力波観測における突発性雑音の教師なし分類
Yusuke Sakai, Yoshikazu Terada, Hirotaka Takahashi
Ouyou toukeigaku Vol. 53 No. 1 p. 33-54 2024 Research paper (scientific journal)
Publisher: Japanese Society of Applied Statistics
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Sparse kernel k-means for high-dimensional data
Xin Guan, Yoshikazu Terada
Pattern Recognition Vol. 144 p. 109873-109873 2023/12 Research paper (scientific journal)
Publisher: Elsevier BV
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Sparse and Simple Structure Estimation via Prenet Penalization
Kei Hirose, Yoshikazu Terada
Psychometrika Vol. 88 No. 4 p. 1381-1406 2023/12 Research paper (scientific journal)
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Selective inference after feature selection via multiscale bootstrap
Yoshikazu Terada, Hidetoshi Shimodaira
Annals of the Institute of Statistical Mathematics Vol. 75 No. 1 p. 99-125 2023 Research paper (scientific journal)
Publisher: Springer Science and Business Media LLC
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Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression
Kosuke Morikawa, Hiromichi Nagao, Shin-ichi Ito, Yoshikazu Terada, Shin’ichi Sakai, Naoshi Hirata
Geophysical Journal International Vol. 226 No. 2 p. 1018-1035 2021/05/19 Research paper (scientific journal)
Publisher: Oxford University Press (OUP)
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Classification from only positive and unlabeled functional data
Yoshikazu Terada, Issei Ogasawara, Ken Nakata
Annals of Applied Statistics Vol. 14 No. 4 p. 1724-1742 2020/12 Research paper (scientific journal)
Publisher: Institute of Mathematical Statistics
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Statistical analysis of sparse approximate factor models
Benjamin Poignard, Yoshikazu Terada
Electronic Journal of Statistics Vol. 14 No. 2 p. 3315-3365 2020 Research paper (scientific journal)
Publisher: Institute of Mathematical Statistics
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More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics p. 820-830 2020 Research paper (international conference proceedings)
Publisher: PMLR -
Fast generalization error bound of deep learning without scale invariance of activation functions.
Yoshikazu Terada, Ryoma Hirose
Neural Networks Vol. 129 p. 344-358 2020 Research paper (scientific journal)
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Selective Inference for Testing Trees and Edges in Phylogenetics
Hidetoshi Shimodaira, Yoshikazu Terada
FRONTIERS IN ECOLOGY AND EVOLUTION Vol. 7 2019/05 Research paper (scientific journal)
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Kernel Normalized Cut: a Theoretical Revisit
Yoshikazu Terada, Michio Yamamoto
Proceedings of the 36th International Conference on Machine Learning p. 6206-6214 2019 Research paper (international conference proceedings)
Publisher: PMLR -
Neural Correlates of the Time Marker for the Perception of Event Timing
Kaoru Amano, Liang Qi, Yoshikazu Terada, Shin'ya Nishida
ENEURO Vol. 3 No. 4 2016/07 Research paper (scientific journal)
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Strong consistency of factorial -means clustering
Yoshikazu Terada
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS Vol. 67 No. 2 p. 335-357 2015/04 Research paper (scientific journal)
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Strong Consistency of Reduced K-means Clustering
Yoshikazu Terada
SCANDINAVIAN JOURNAL OF STATISTICS Vol. 41 No. 4 p. 913-931 2014/12 Research paper (scientific journal)
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Local Ordinal Embedding.
Yoshikazu Terada, Ulrike von Luxburg
Proceedings of the 31st International Conference on Machine Learning p. 847-855 2014 Research paper (international conference proceedings)
Publisher: JMLR.org -
Functional factorial K-means analysis.
Michio Yamamoto, Yoshikazu Terada
Comput. Stat. Data Anal. Vol. 79 p. 133-148 2014 Research paper (scientific journal)
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Clustering for high-dimension, low-sample size data using distance vectors.
Yoshikazu Terada
CoRR Vol. abs/1312.3386 2013 Research paper (scientific journal)
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Multidimensional scaling with the nested hypersphere model for percentile dissimilarities
Yoshikazu Terada, Hiroshi Yadohisa
COMPLEX ADAPTIVE SYSTEMS Vol. 6 p. 364-369 2011 Research paper (international conference proceedings)
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分布値データに対するクラスタリング法の提案(学生研究発表賞セッション)
寺田 吉壱, 宿久 洋
日本計算機統計学会大会論文集 Vol. 24 p. 1-4 2010
Publisher: 日本計算機統計学会
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区間代数のヒストグラムデータへの拡張(セッション3A)
寺田 吉壱, 宿久 洋
日本計算機統計学会シンポジウム論文集 Vol. 23 p. 155-158 2009
Publisher: 日本計算機統計学会
