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 ...
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 ...
JSTOR Daily

Discrimination and Classification Using Both Binary and Continuous Variables

The likelihood ratio classification rule is derived from the location model, applicable when the data contains both binary and continuous variables. A method is proposed for estimating the rule in ...
International Monetary Fund

What is Really Good for Long-Term Growth? Lessons from a Binary Classification Tree (BCT) Approach

Although the economic growth literature has come a long way since the Solow-Swan model of the fifties, there is still considerable debate on the "real' or "deep" determinants of growth. This paper ...