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Elastic net regularization

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Elastic net regularization

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Peptide-Cation Systems: Conformational Search, Benchmark Evaluation, and Force Field Parameter Adjustment Using Regularized Linear Regression

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Theory and Algorithms for Hypothesis Transfer Learning

Robust and adaptive approaches for Relative Geologic Time Estimation

A data-driven model for the air-cooling condenser of large-scale coal-fired power plants based on data reconciliation and support vector regression

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

Acoustic DoA Estimation by One Unsophisticated Sensor

Theory and Algorithms for Hypothesis Transfer Learning

Peptide-Cation Systems: Conformational Search, Benchmark Evaluation, and Force Field Parameter Adjustment Using Regularized Linear Regression

Robust and adaptive approaches for Relative Geologic Time Estimation

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Learning Monocular 3D Human Pose Estimation from Multi-view Images

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Acoustic DoA Estimation by One Unsophisticated Sensor

A data-driven model for the air-cooling condenser of large-scale coal-fired power plants based on data reconciliation and support vector regression

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces