On multivariate calibration with unlabeled data

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On multivariate calibration with unlabeled data

Chat with Graph Search

Development of a blind control occupant behaviour model (BC-OBM) based on contextual and time-related factors through supervised machine learning approaches

Spectral Estimators for High-Dimensional Matrix Inference

Partial discharge localization in power transformer tanks using machine learning methods

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

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

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Random matrix methods for high-dimensional machine learning models

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

Novel theory and potential applications of central diastolic pressure decay time constant

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Probabilistic methods for neural combinatorial optimization

Modeling local thermal responses of individuals: Validation of advanced human thermo-physiology models

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

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Quantization for Decentralized Learning Under Subspace Constraints

Timing and spatial selection bias in rapid extreme event attribution

State-Based Versus Time-Based Estimation of the Gait Phase for Hip Exoskeletons in Steady and Transient Walking

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection