Nature

Error-Correcting Output Codes in Multi-Class Classification

Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch, Part 1: New Best Practices

A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Defining a Network

Multi-Class Classification Using PyTorch: Defining a Network Dr. James McCaffrey of Microsoft Research explains how to define a network in installment No. 2 of his four-part series that will present a ...
ascopubs.org

Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports

The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps ...