Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

One year of weather data (temperature, pressure, humidity, sunshine, evaporation, cloud cover, wind direction, and wind speed) from Canberra, Australia, has been used to develop the logistic ...

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...

Methods: The predictive model is based on ... showed that while the between-group differences in the number of children and pension insurance participation were statistically significant, the further ...