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 ...
Visual Studio Magazine

Binary Classification Using PyTorch, Part 1: New Best Practices

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...
ascopubs.org

Machine Learning in Oncology: Methods, Applications, and Challenges

Tailoring Therapy for Children With Neuroblastoma on the Basis of Risk Group Classification: Past, Present, and Future Machine learning (ML) has the potential to transform oncology and, more broadly, ...
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 ...
Visual Studio Magazine

AdaBoost Binary Classification Using C#

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 ...