Simulation is the primary method for evaluating computer systems during all phases of the design process. One significant problem with simulation is that it rarely models the syst...
Jeff Gibson, Robert Kunz, David Ofelt, Mark Heinri...
We analyze algorithms that predict a binary value by combining the predictions of several prediction strategies, called experts. Our analysis is for worst-case situations, i.e., we...
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 introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...