Ground Truth: The Realities of Generative AI in E-Discovery

The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.
GitHub

AntonisZks/Vamana-Indexing-Algorithm

Για την κατασκευή των εκτελέσιμων αρχείων παρέχονται διάφορες εντολές που εξασφαλίζουν τη μεταγλώττιση της κύριας εφαρμογής, των unit tests ...
Visual Studio Magazine

Implementing k-Nearest Neighbors Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...
IEEE

Geographical Origin Identification of Panax notoginseng Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy

Abstract: This study introduces a novel method for identifying the geographical origins of Panax notoginseng using near-infrared spectroscopy and a modified K-nearest neighbors algorithm. The proposed ...