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Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

Scientific reports, 2020-12, Vol.10 (1), p.21790-21790, Article 21790

2020

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Information Geometrically Generalized Covariate Shift Adaptation

Neural computation, 2022-08, Vol.34 (9), p.1944-1977

2022

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Modal Principal Component Analysis

Neural computation, 2020-10, Vol.32 (10), p.1901-1935

2020

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Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine‐Learning‐Based Approach

Geochemistry, geophysics, geosystems : G3, 2018-04, Vol.19 (4), p.1327-1347

2018

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Classification of volcanic ash particles using a convolutional neural network and probability

Scientific reports, 2018-05, Vol.8 (1), p.8111-12, Article 8111

2018

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An Introduction to SGTPPR: Sparse Geochemical Tectono‐Magmatic Setting Probabilistic MembershiP DiscriminatoR

Geochemistry, geophysics, geosystems : G3, 2024-02, Vol.25 (2), p.n/a

2024

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α -Geodesical Skew Divergence

Entropy (Basel, Switzerland), 2021-04, Vol.23 (5), p.528

2021

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Entropy Power Inequality for Learning Optimal Combination of Kernel Functions

Journal of signal processing systems, 2015-05, Vol.79 (2), p.201-210

Hino, Hideitsu

2015

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Hyperparameter estimation using a resolution matrix for Bayesian sensing

Inverse problems, 2022-12, Vol.38 (12), p.124004

2022

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Automated stopping criterion for spectral measurements with active learning

npj computational materials, 2021-08, Vol.7 (1), p.1-9, Article 139

2021

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Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude

Earth, planets, and space, 2023-12, Vol.75 (1), p.78-12, Article 78

2023

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Geometry of EM and related iterative algorithms

Information geometry, 2024, Vol.7 (Suppl 1), p.39-77

2024

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Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation

Scientific reports, 2019-02, Vol.9 (1), p.1526-1526, Article 1526

2019

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Information and contact geometric description of expectation variables exactly derived from master equations

Physica scripta, 2020-01, Vol.95 (1), p.15207

2020

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Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures

npj computational materials, 2019-12, Vol.5 (1), Article 39

2019

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Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Neural computation, 2017-07, Vol.29 (7), p.1838-1878

2017

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Fast and robust multiplane single-molecule localization microscopy using a deep neural network

Neurocomputing (Amsterdam), 2021-09, Vol.451, p.279-289

2021

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Extracting the geochemical characteristics of magmas in different global tectono-magmatic settings using sparse modeling

Frontiers in earth science (Lausanne), 2022-10, Vol.10

2022

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Dynamics of Cortical Local Connectivity during Sleep–Wake States and the Homeostatic Process

Cerebral cortex (New York, N.Y. 1991), 2020-06, Vol.30 (7), p.3977-3990

2020

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Estimation of neural connections from partially observed neural spikes

Neural networks, 2018-12, Vol.108, p.172-191

2018

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Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces

IEEE transactions on information forensics and security, 2017-03, Vol.12 (3), p.689-704

2017

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Nonparametric e -Mixture Estimation

Neural computation, 2016-12, Vol.28 (12), p.2687-2725

2016

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Non-parametric e-mixture of Density Functions

Neural Information Processing, p.3-10

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Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

PloS one, 2017-01, Vol.12 (1), p.e0169981-e0169981

2017

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The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations

Journal of statistical software, 2014, Vol.57 (4), p.1-51

2014

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Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

Information Geometrically Generalized Covariate Shift Adaptation

Modal Principal Component Analysis

Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine‐Learning‐Based Approach

Classification of volcanic ash particles using a convolutional neural network and probability

An Introduction to SGTPPR: Sparse Geochemical Tectono‐Magmatic Setting Probabilistic MembershiP DiscriminatoR

α -Geodesical Skew Divergence

Entropy Power Inequality for Learning Optimal Combination of Kernel Functions

Hyperparameter estimation using a resolution matrix for Bayesian sensing

Automated stopping criterion for spectral measurements with active learning

Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude

Geometry of EM and related iterative algorithms

Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation

Information and contact geometric description of expectation variables exactly derived from master equations

Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures

Local Intrinsic Dimension Estimation by Generalized Linear Modeling

Fast and robust multiplane single-molecule localization microscopy using a deep neural network

Extracting the geochemical characteristics of magmas in different global tectono-magmatic settings using sparse modeling

Dynamics of Cortical Local Connectivity during Sleep–Wake States and the Homeostatic Process

Estimation of neural connections from partially observed neural spikes

Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces

Nonparametric e -Mixture Estimation

Non-parametric e-mixture of Density Functions

Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis

The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations

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