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Kernel smoother

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High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Stability: a search for structure

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

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

Kernel Methods and Similarity Learning Applied in Computational Chemistry

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios

Kernel Density Estimation through Density Constrained Near Neighbor Search