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.
app.com

Neighbors over algorithms: Service Professionals show community commitment

“Customer looking to replace 20-year-old furnace. No heat. Can’t afford a new system. Needs help.”“Has been clogged for about a week; yesterday it started getting bad. We were out there about a month ...
IEEE

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

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Scientific Research Publishing

Larose, D.T. and Larose, C.D. (2014) k-Nearest Neighbor Algorithm.

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...
GitHub

thatipamula-jashwanth/smart-knn

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.
Lexington Herald Leader

Could bankruptcy be in the works for a potentially insolvent whiskey start-up?

Federal judge ordered receivership for Uncle Nearest after $100M loan default. Farm Credit alleges asset discrepancies while Weaver family rejects bankruptcy. Company seeks new investors to acquire ...
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 ...