Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Emerging in-vehicle systems have turned the contemporary car into a human-computer interaction context that has its own set of rules and challenges. Interacting with in-vehicle sy...
Software developers use testing to gain and maintain confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the...
The popularity of object-oriented programming has led to the wide use of container libraries. It is important for the reliability of these containers that they are tested adequate...
Willem Visser, Corina S. Pasareanu, Radek Pel&aacu...
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...