The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
— This paper presents an approach on how to adapt playgrounds using artificial neural networks (ANN). The playground consists of small tiles each capable of outputting coloured ...
Alireza Derakhshan, Frodi Hammer, Henrik Hautop Lu...
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
This paper is focused on modeling Web request and session level arrival processes. We propose a statistically rigorous approach which includes testing for non-stationarity and Gau...
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...