One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
A model for reference use in communication is proposed, from a representationist point of view. Both the sender and the receiver of a message handle representations of their commo...
Random testing is not only a useful testing technique in itself, but also plays a core role in many other testing methods. Hence, any significant improvement to random testing ha...
Tsong Yueh Chen, Fei-Ching Kuo, Robert G. Merkel, ...
Although there has been recent research into ways to design environments that enable end users to create their own programs, little attention has been given to helping these end u...
Margaret M. Burnett, Andrei Sheretov, Bing Ren, Gr...
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...