The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
The high cost of locating faults in programs has motivated the development of techniques that assist in fault localization by automating part of the process of searching for fault...
It is not always clear how best to represent integrated data sets, and which application and database features allow a scientist to take best advantage of data coming from various ...
Joanna Jakubowska, Ela Hunt, John McClure, Matthew...
Since counterexamples generated by model checking tools are only symptoms of faults in the model, a significant amount of manual work is required in order to locate the fault that...
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...