IEEE

Optimizing K-Nearest Neighbor Values Using The Elbow Method

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
GitHub

Plug-and-Play Optimal Page Replacement Algorithm (OPT) for Torch Dataset

OPT needs to know the future access sequence Theoretically best cache hit rate Always replaces the data item that will be accessed "furthest in the future" In deep learning training, data access ...
IEEE

A Hybrid Approach to Classification Using KNN and MLP Probability Aggregation

Abstract: This research investigates the classification performance of various modeling approaches, including single classifiers, ensemble techniques, and a novel hybrid framework that integrates ...
The Economist

A crisis over using frozen Russian assets to help Ukraine

London is the setting of this week’s first important meeting in the interminable succession of summits that now attend the war in Ukraine. Volodymyr Zelensky is flying in to meet, on December 8th, ...
ConsumerAffairs

What is a ‘data center’ and how much electricity does it use?

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...