Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Visual Studio Magazine

Weighted k-Nearest Neighbors Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...
IEEE

Binary Classification using K-Nearest Neighbor Algorithm on FPGA

Abstract: The K-Nearest Neighbor (K-NN) algorithm is one of the most widely used algorithms for machine learning applications. Using K-NN algorithm on massively large data requires high computation ...
IEEE

An Efficient Slime Mould Algorithm Combined With K-Nearest Neighbor for Medical Classification Tasks

Abstract: Growing science and medical technologies have produced a massive amount of knowledge on different scales of biological systems. By processing various amounts of medical data, these ...
Scientific Research Publishing

Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review ()

1 Department of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana. 2 Department of Statistics and Actuarial Science, University of Ghana, ...
InfoWorld

What is machine learning? Intelligence derived from data

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...