Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

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Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

Chattez avec Graph Search

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Spectral Estimators for High-Dimensional Matrix Inference

Partial discharge localization in power transformer tanks using machine learning methods

Asynchronous Diffusion Learning with Agent Subsampling and Local Updates

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Exploiting the Signal-Leak Bias in Diffusion Models

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

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

Optimized Quantification of Multiple Drug Concentrations by WeightedMSE With Machine Learning on Electrochemical Sensor

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

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Iterative removal of sources to model the turbulent electromotive force

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Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Augmenting locomotor perception by remapping tactile foot sensation to the back

The Privacy Power of Correlated Noise in Decentralized Learning