Non-parametric statistics

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Non-parametric statistics

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Correlation properties of a one-dimensional repulsive Bose gas at finite temperature

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Sketches, metrics and fast algorithms

Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions

Feature-based no-reference video quality assessment using Extra Trees

Kernel Methods and Similarity Learning Applied in Computational Chemistry

Metric learning for kernel ridge regression: assessment of molecular similarity

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Statistical limits of dictionary learning: Random matrix theory and the spectral replica method

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs