The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

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 ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

Hann is a high-performance approximate nearest neighbor search (ANN) library for Go. It provides a collection of index data structures for efficient similarity search in high-dimensional spaces.

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 ...

A Pew Research Center survey suggests that they may like you more than you realize. By Arnesa A. Howell Whether you’re in a city, a suburb or a rural area, living among people you trust can mean the ...

Abstract: Sign language recognition is an essential task in closing the communication gap between hearing-impaired people and the rest of the population. This paper suggests a better machine learning ...

Abstract: This paper introduces Federated Fuzzy k-Nearest Neighbors algorithms, with one variant designed for classification tasks and another for regression tasks. The federated nature of FedFKNN ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...