Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

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 = ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
JSTOR Daily

Comparison of Multi-class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses

Publications of the Astronomical Society of the Pacific, Vol. 132, No. 1010 (2020 April), pp. 1-11 (11 pages) Typically, binary classification lens-finding schemes are used to discriminate between ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...