Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

A man from Hải Dương in Vietnam was relaxing in his living room watching a movie on his cell phone when he noticed a huge python snake on the floor. A home security camera recorded the man's terrified ...

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

Multi-Class Classification Using LightGBM Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform ...

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

As K-12 schools continue to adopt new ed-tech tools to facilitate online learning, the introduction of digital learning apps has created new security vulnerabilities and a need to tighten data privacy ...

Abstract: K-Nearest Neighbour (KNN) is a lazy learning algorithm which has been successfully practiced in several real-life machine learning applications. However, it has been titled as lazy learner ...

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and ...