The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

This project demonstrates binary classification of standard SATNOGS waterfall images based on the presence of signal in the images using a Support Vector Machine (SVM) trained over a sample from ...

Introduction: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early ...

A binary star system, designated D9, has been discovered orbiting the Milky Way's supermassive black hole (SMBH), providing the first compelling evidence that previously enigmatic G objects are ...

Dr. James McCaffrey from Microsoft Research presents a C# program that illustrates using the AdaBoost algorithm to perform binary classification for spam detection. Compared to other classification ...

In recent developments, the presence of machine learning and deep learning in object classification in computer vision has brought about significant discoveries. One implementation of classification ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Abstract: Support Vector Machine (SVM) is one of the most popular supervised learning methods for its better performances over diversified applications. SVM constructs a maximum-margin hyperplane and ...

Abstract: This paper presents a linear SVM (Support Vector Machine) Pyramidal Tree (SVMPT) for binary classification tasks. SVMPT is a modified version of SVM based Tree Type Neural Networks (SVMTNN), ...