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 ...
JSTOR Daily

Preliminary Results of Using k-nearest-neighbor Regression to Estimate the Redshift of Radio-selected Data Sets

In the near future, all-sky radio surveys are set to produce catalogues of tens of millions of sources with limited multiwavelength photometry. Spectroscopic redshifts will only be possible for a ...
JSTOR Daily

Consistency for Cross-Validated Nearest Neighbor Estimates in Nonparametric Regression

This is a preview. Log in through your library . The Annals of Statistics publishes research papers of the highest quality reflecting the many facets of contemporary statistics. Primary emphasis is ...
pv magazine International

k-Nearest Neighbors algorithm for PV power forecasting

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.
mccormick.northwestern.edu

COMP_SCI 469: Machine Learning and Artificial Intelligence for Robotics

2. Gaussian filters : Kalman, Information... 3. Nonparametric filters: Histogram, Particle... III. Machine Learning 1. Neural Nets : perceptron, multi-layered ...
Visual Studio Magazine

Implementing k-Nearest Neighbors Regression Using JavaScript

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, current bank account balance, years of ...