Abstract: This tutorial is devoted to the notion of max-min fairness (MMF), associated optimization problems, and their applications to multi-commodity flow networks.We first introduce a theoretical ...

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints arXiv / Applied Energy https://github ...

Full-process, autonomous construction and continuous evolutionary breakthrough. LoongFlow: Inspired by Wang Yangming's "Enlightenment at Longchang".LoongFlow is dedicated to breaking the barrier ...

Retention analysts say Shorts older than 28-30 days are being deprioritized in recommendations. The reported shift affects channels ranging from 100 million to one billion monthly views. Creators warn ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

Your browser does not support the audio element. Heap Sort is an efficient, comparison-based sorting algorithm that uses a binary heap data structure to sort elements ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...

Abstract: Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion based on mutual ...