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Applications of a L<sub>1</sub>‐Regularized Linear Regression to X‐Ray Fluorescence Holography Data of Functional Materials.
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- Physica Status Solidi (B), 2018, v. 255, n. 11, p. N.PAG, doi. 10.1002/pssb.201800089
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Algorithm for Atomic Resolution Holography Using Modified L<sub>1</sub>‐Regularized Linear Regression and Steepest Descent Method.
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- Physica Status Solidi (B), 2018, v. 255, n. 11, p. N.PAG, doi. 10.1002/pssb.201800091
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Local Structure of FeSe<sub>0.4</sub>Te<sub>0.6</sub> by Low‐Temperature X‐Ray Fluorescence Holography.
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- Physica Status Solidi (B), 2018, v. 255, n. 11, p. N.PAG, doi. 10.1002/pssb.201800093
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Class-prior estimation for learning from positive and unlabeled data.
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- Machine Learning, 2017, v. 106, n. 4, p. 463, doi. 10.1007/s10994-016-5604-6
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Existence Results for a Boundary Value Problem Arising in Growing Cell Populations.
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- Mathematical Models & Methods in Applied Sciences, 2003, v. 13, n. 1, p. 1, doi. 10.1142/S0218202503002350
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L[sub 1] Optimization under Linear Inequality Constraints.
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- Journal of Classification, 2000, v. 17, n. 2, p. 225, doi. 10.1007/s003570000020
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L1--norm Fit of a Straight Line.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 1974, v. 23, n. 2, p. 244, doi. 10.2307/2347013
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