Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...
Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...
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 ...
JSTOR Daily

Principal weighted support vector machines for sufficient dimension reduction in binary classification

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...
eLife

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues

Sex-biased gene expression in the body organs evolves rapidly, supporting a mosaic model of maleness and femaleness across tissues and thus challenging binary views of sex characteristics in mammals.
TechCrunch

JFrog and GitHub team up to closely integrate their source code and binary platforms

GitHub and JFrog announced a partnership on Wednesday that will see a deeper integration between the two companies’ platforms, giving developers and their support teams an easier way to manage both ...