Works by Sugiyama, Masashi

Results: 61

Conformational transition of secondary structures of peptide fragments and their nongenetical self-propagation.

Published in:

1996

By:

Yanagawa, Hiroshi;
Ogawa, Yoko;
Hori, Jun-ichiro;
Sugiyama, Masashi;
Yoshida, Kenji;
Sato, Kazuki

Publication type:

Abstract

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study.

Published in:

Journal of Medical Internet Research, 2015, v. 17, n. 1, p. 1, doi. 10.2196/jmir.3705

By:

Nohara, Yasunobu;
Kai, Eiko;
Ghosh, Partha Pratim;
Islam, Rafiqul;
Ahmed, Ashir;
Kuroda, Masahiro;
Inoue, Sozo;
Hiramatsu, Tatsuo;
Kimura, Michio;
Shimizu, Shuji;
Kobayashi, Kunihisa;
Baba, Yukino;
Kashima, Hisashi;
Tsuda, Koji;
Sugiyama, Masashi;
Blondel, Mathieu;
Ueda, Naonori;
Kitsuregawa, Masaru;
Nakashima, Naoki

Publication type:

Article

Using the variogram for vector outlier screening: application to feature-based image registration.

Published in:

International Journal of Computer Assisted Radiology & Surgery, 2018, v. 13, n. 12, p. 1871, doi. 10.1007/s11548-018-1840-5

By:

Luo, Jie;
Frisken, Sarah;
Machado, Ines;
Zhang, Miaomiao;
Pieper, Steve;
Golland, Polina;
Toews, Matthew;
Unadkat, Prashin;
Sedghi, Alireza;
Zhou, Haoyin;
Mehrtash, Alireza;
Preiswerk, Frank;
Cheng, Cheng-Chieh;
Golby, Alexandra;
Sugiyama, Masashi;
Wells, William M.

Publication type:

Article

Learning under nonstationarity: covariate shift and class-balance change.

Published in:

WIREs: Computational Statistics, 2013, v. 5, n. 6, p. 465, doi. 10.1002/wics.1275

By:

Sugiyama, Masashi;
Yamada, Makoto;
du Plessis, Marthinus Christoffel

Publication type:

Article

Sequential change-point detection based on direct density-ratio estimation.

Published in:

Statistical Analysis & Data Mining, 2012, v. 5, n. 2, p. 114, doi. 10.1002/sam.10124

By:

Kawahara, Yoshinobu;
Sugiyama, Masashi

Publication type:

Article

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review.

Published in:

Journal of Medical Systems, 2024, v. 48, n. 1, p. 1, doi. 10.1007/s10916-024-02105-8

By:

Takahashi, Satoshi;
Sakaguchi, Yusuke;
Kouno, Nobuji;
Takasawa, Ken;
Ishizu, Kenichi;
Akagi, Yu;
Aoyama, Rina;
Teraya, Naoki;
Bolatkan, Amina;
Shinkai, Norio;
Machino, Hidenori;
Kobayashi, Kazuma;
Asada, Ken;
Komatsu, Masaaki;
Kaneko, Syuzo;
Sugiyama, Masashi;
Hamamoto, Ryuji

Publication type:

Article

Statistical outlier detection using direct density ratio estimation.

Published in:

Knowledge & Information Systems, 2011, v. 26, n. 2, p. 309, doi. 10.1007/s10115-010-0283-2

By:

Hido, Shohei;
Tsuboi, Yuta;
Kashima, Hisashi;
Sugiyama, Masashi;
Kanamori, Takafumi

Publication type:

Article

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.

Published in:

Bioinformatics, 2009, v. 25, n. 22, p. 2962, doi. 10.1093/bioinformatics/btp494

By:

Kashima, Hisashi;
Yamanishi, Yoshihiro;
Kato, Tsuyoshi;
Sugiyama, Masashi;
Tsuda, Koji

Publication type:

Article

Root cause estimation of faults in production processes: a novel approach inspired by approximate Bayesian computation.

Published in:

International Journal of Production Research, 2023, v. 61, n. 5, p. 1556, doi. 10.1080/00207543.2022.2042611

By:

Otsubo, Yosuke;
Otani, Naoya;
Chikasue, Megumi;
Nishino, Mineyuki;
Sugiyama, Masashi

Publication type:

Article

Statistical Analysis of Distance Estimators with Density Differences and Density Ratios.

Published in:

Entropy, 2014, v. 16, n. 2, p. 921, doi. 10.3390/e16020921

By:

Takafumi Kanamori;
Masashi Sugiyama

Publication type:

Article

Machine Learning with Squared-Loss Mutual Information.

Published in:

Entropy, 2013, v. 15, n. 1, p. 80, doi. 10.3390/e15010080

By:

Sugiyama, Masashi

Publication type:

Article

Mutual information estimation reveals global associations between stimuli and biological processes.

Published in:

BMC Bioinformatics, 2009, v. 10, p. 1, doi. 10.1186/1471-2105-10-S1-S52

By:

Suzuki, Taiji;
Sugiyama, Masashi;
Kanamori, Takafumi;
Jun Sese

Publication type:

Article

On Generalization Performance and Non-Convex Optimization of Extended υ-Support Vector Machine.

Published in:

New Generation Computing, 2009, v. 27, n. 3, p. 259, doi. 10.1007/s00354-008-0064-6

By:

Takeda, Akiko;
Sugiyama, Masashi

Publication type:

Article

Acetylxylan esterase is the key to the host specialization of wood-decay fungi predicted by random forest machine-learning algorithm.

Published in:

Journal of Wood Science, 2024, v. 70, n. 1, p. 1, doi. 10.1186/s10086-024-02159-9

By:

Hasegawa, Natsuki;
Sugiyama, Masashi;
Igarashi, Kiyohiko

Publication type:

Article

Boundary-restricted metric learning.

Published in:

Machine Learning, 2023, v. 112, n. 12, p. 4723, doi. 10.1007/s10994-023-06380-3

By:

Chen, Shuo;
Gong, Chen;
Li, Xiang;
Yang, Jian;
Niu, Gang;
Sugiyama, Masashi

Publication type:

Article

Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation.

Published in:

Machine Learning, 2023, v. 112, n. 3, p. 889, doi. 10.1007/s10994-022-06190-z

By:

Nakajima, Shota;
Sugiyama, Masashi

Publication type:

Article

Binary classification with ambiguous training data.

Published in:

Machine Learning, 2020, v. 109, n. 12, p. 2369, doi. 10.1007/s10994-020-05915-2

By:

Otani, Naoya;
Otsubo, Yosuke;
Koike, Tetsuya;
Sugiyama, Masashi

Publication type:

Article

Active deep Q-learning with demonstration.

Published in:

Machine Learning, 2020, v. 109, n. 9/10, p. 1699, doi. 10.1007/s10994-019-05849-4

By:

Chen, Si-An;
Tangkaratt, Voot;
Lin, Hsuan-Tien;
Sugiyama, Masashi

Publication type:

Article

Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric.

Published in:

Machine Learning, 2020, v. 109, n. 3, p. 513, doi. 10.1007/s10994-019-05836-9

By:

Kwon, Yongchan;
Kim, Wonyoung;
Sugiyama, Masashi;
Paik, Myunghee Cho

Publication type:

Article

Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).

Published in:

Machine Learning, 2019, v. 108, n. 5, p. 717, doi. 10.1007/s10994-019-05796-0

By:

Sugiyama, Masashi;
Noh, Yung-Kyun

Publication type:

Article

Good arm identification via bandit feedback.

Published in:

Machine Learning, 2019, v. 108, n. 5, p. 721, doi. 10.1007/s10994-019-05784-4

By:

Kano, Hideaki;
Honda, Junya;
Sakamaki, Kentaro;
Matsuura, Kentaro;
Nakamura, Atsuyoshi;
Sugiyama, Masashi

Publication type:

Article

Millionaire: a hint-guided approach for crowdsourcing.

Published in:

Machine Learning, 2019, v. 108, n. 5, p. 831, doi. 10.1007/s10994-018-5766-5

By:

Han, Bo;
Yao, Quanming;
Pan, Yuangang;
Tsang, Ivor W.;
Xiao, Xiaokui;
Yang, Qiang;
Sugiyama, Masashi

Publication type:

Article

Correction to: Semi-supervised AUC optimization based on positive-unlabeled learning.

Published in:

2018

By:

Sakai, Tomoya;
Niu, Gang;
Sugiyama, Masashi

Publication type:

Correction Notice

Semi-supervised AUC optimization based on positive-unlabeled learning.

Published in:

Machine Learning, 2018, v. 107, n. 4, p. 767, doi. 10.1007/s10994-017-5678-9

By:

Sakai, Tomoya;
Niu, Gang;
Sugiyama, Masashi

Publication type:

Article

Homotopy continuation approaches for robust SV classification and regression.

Published in:

Machine Learning, 2017, v. 106, n. 7, p. 1009, doi. 10.1007/s10994-017-5627-7

By:

Suzumura, Shinya;
Ogawa, Kohei;
Sugiyama, Masashi;
Karasuyama, Masayuki;
Takeuchi, Ichiro

Publication type:

Article

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).

Published in:

2017

By:

Durrant, Robert;
Kim, Kee-Eung;
Holmes, Geoffrey;
Marsland, Stephen;
Sugiyama, Masashi;
Zhou, Zhi-Hua

Publication type:

Editorial

Class-prior estimation for learning from positive and unlabeled data.

Published in:

Machine Learning, 2017, v. 106, n. 4, p. 463, doi. 10.1007/s10994-016-5604-6

By:

Plessis, Marthinus;
Niu, Gang;
Sugiyama, Masashi

Publication type:

Article

Geometry-aware principal component analysis for symmetric positive definite matrices.

Published in:

Machine Learning, 2017, v. 106, n. 4, p. 493, doi. 10.1007/s10994-016-5605-5

By:

Horev, Inbal;
Yger, Florian;
Sugiyama, Masashi

Publication type:

Article

Introduction: special issue of selected papers from ACML 2015.

Published in:

2017

By:

Holmes, Geoffrey;
Liu, Tie-Yan;
Li, Hang;
King, Irwin;
Sugiyama, Masashi;
Zhou, Zhi-Hua

Publication type:

Editorial

Direct conditional probability density estimation with sparse feature selection.

Published in:

Machine Learning, 2015, v. 100, n. 2-3, p. 161, doi. 10.1007/s10994-014-5472-x

By:

Shiga, Motoki;
Tangkaratt, Voot;
Sugiyama, Masashi

Publication type:

Article

Introduction: special issue of selected papers of ACML 2013.

Published in:

Machine Learning, 2015, v. 99, n. 2, p. 165, doi. 10.1007/s10994-015-5492-1

By:

Ong, Cheng Soon;
Buntine, Wray;
Webb, Geoffrey;
Ho, Tu-Bao;
Sugiyama, Masashi

Publication type:

Article

Least-squares independence regression for non-linear causal inference under non-Gaussian noise.

Published in:

Machine Learning, 2014, v. 96, n. 3, p. 249, doi. 10.1007/s10994-013-5423-y

By:

Yamada, Makoto;
Sugiyama, Masashi;
Sese, Jun

Publication type:

Article

Variational Bayesian sparse additive matrix factorization.

Published in:

Machine Learning, 2013, v. 92, n. 2-3, p. 319, doi. 10.1007/s10994-013-5347-6

By:

Nakajima, Shinichi;
Sugiyama, Masashi;
Babacan, S.

Publication type:

Article

Computational complexity of kernel-based density-ratio estimation: a condition number analysis.

Published in:

Machine Learning, 2013, v. 90, n. 3, p. 431, doi. 10.1007/s10994-012-5323-6

By:

Kanamori, Takafumi;
Suzuki, Taiji;
Sugiyama, Masashi

Publication type:

Article

Multi-parametric solution-path algorithm for instance-weighted support vector machines.

Published in:

Machine Learning, 2012, v. 88, n. 3, p. 297, doi. 10.1007/s10994-012-5288-5

By:

Karasuyama, Masayuki;
Harada, Naoyuki;
Sugiyama, Masashi;
Takeuchi, Ichiro

Publication type:

Article

Statistical analysis of kernel-based least-squares density-ratio estimation.

Published in:

Machine Learning, 2012, v. 86, n. 3, p. 335, doi. 10.1007/s10994-011-5266-3

By:

Kanamori, Takafumi;
Suzuki, Taiji;
Sugiyama, Masashi

Publication type:

Article

Semi-supervised local Fisher discriminant analysis for dimensionality reduction.

Published in:

Machine Learning, 2010, v. 78, n. 1-2, p. 35, doi. 10.1007/s10994-009-5125-7

By:

Sugiyama, Masashi;
Idé, Tsuyoshi;
Nakajima, Shinichi;
Sese, Jun

Publication type:

Article

Pool-based active learning in approximate linear regression.

Published in:

Machine Learning, 2009, v. 75, n. 3, p. 249, doi. 10.1007/s10994-009-5100-3

By:

Sugiyama, Masashi;
Nakajima, Shinichi

Publication type:

Article

Dependence maximization localization: a novel approach to 2D street-map-based robot localization.

Published in:

Advanced Robotics, 2016, v. 30, n. 22, p. 1431, doi. 10.1080/01691864.2016.1222915

By:

Irie, Kiyoshi;
Sugiyama, Masashi;
Tomono, Masahiro

Publication type:

Article

Theoretical Analysis of Bayesian Matrix Factorization.

Published in:

Journal of Machine Learning Research, 2011, v. 12, n. 9, p. 2583

By:

Nakajima, Shinichi;
Sugiyama, Masashi

Publication type:

Article

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin.

Published in:

Journal of Machine Learning Research, 2011, v. 12, n. 6, p. 1835

By:

Liwei Wang;
Sugiyama, Masashi;
Zhaoxiang Jing;
Cheng Yang;
Zhi-Hua Zhou;
Jufu Feng

Publication type:

Article

Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.

Published in:

Journal of Machine Learning Research, 2011, v. 12, n. 5, p. 1537

By:

Tomioka, Ryota;
Suzuki, Taiji;
Sugiyama, Masashi

Publication type:

Article

A Least-squares Approach to Direct Importance Estimation.

Published in:

Journal of Machine Learning Research, 2009, v. 10, n. 7, p. 1391

By:

Kanamori, Takafumi;
Hido, Shohei;
Sugiyama, Masashi

Publication type:

Article

Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis.

Published in:

Journal of Machine Learning Research, 2007, v. 8, n. 5, p. 1027

By:

Sugiyama, Masashi

Publication type:

Article

Covariate Shift Adaptation by Importance Weighted Cross Validation.

Published in:

Journal of Machine Learning Research, 2007, v. 8, n. 5, p. 985

By:

Sugiyama, Masashi;
Krauledat, Matthias;
Müller, Klaus-Robert

Publication type:

Article

In Search of Non-Gaussian Components of a High-Dimensional Distribution.

Published in:

Journal of Machine Learning Research, 2006, v. 7, n. 2, p. 247

By:

Blanchard, Gilles;
Kawanabe, Motoaki;
Sugiyama, Masashi;
Spokoiny, Vladimir;
Müller, Klaus-Robert;
Roweis, Sam

Publication type:

Article

Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error.

Published in:

Journal of Machine Learning Research, 2006, v. 7, n. 1, p. 141

By:

Sugiyama, Masashi;
Ridgeway, Greg

Publication type:

Article

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces.

Published in:

Journal of Machine Learning Research, 2003, v. 3, n. 2, p. 323

By:

Sugiyama, Masashi;
Müller, Klaus-Robert

Publication type:

Article

Characteristics of a Surgical Snare Using Microwave Energy.

Published in:

Diagnostics (2075-4418), 2018, v. 8, n. 4, p. 83, doi. 10.3390/diagnostics8040083

By:

Sugiyama, Masashi;
Saito, Kazuyuki

Publication type:

Article

Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation.

Published in:

Annals of the Institute of Statistical Mathematics, 2012, v. 64, n. 5, p. 1009, doi. 10.1007/s10463-011-0343-8

By:

Sugiyama, Masashi;
Suzuki, Taiji;
Kanamori, Takafumi

Publication type:

Article