Log-normal Distribution - A simple explanation, by Maja Pavlovic

Viruses, Free Full-Text

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Uncertainty in Deep Learning — Epistemic Uncertainty and Bayes by Backprop, by Kaan Bıçakcı

Uncertainty in the predictor variables, by Michael Larionov, PhD

Expected Calibration Error (ECE): A Step-by-Step Visual Explanation, by Maja Pavlovic

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Shannon entropy in the context of machine learning and AI, by Frank Preiswerk, The Startup

Why WGANs beat GANs: A journey from KL divergence to Wasserstein loss, by Shashank Kumar

A Comprehensive Guide on Model Calibration: What, When, and How, by Raj Sangani

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Log-normal Distribution - A simple explanation, by Maja Pavlovic

Mirjana PAVLOVIC, Dr, Vinča Institute of Nuclear Sciences, Belgrade, VIN, Laboratory of Physical Chemistry

Maximum likelihood estimation for the regression parameters, by Utpal Kumar