In this paper we present a new approach to writing Makefiles and a system called maker which helps in this process. Our main goals are: ease the process of writing user Makefiles...
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Web-based services designed for human users are being abused by computer programs (bots). This real-world issue has recently generated a new research area called Human Interactive...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy and the performance of NLP applications. We are constructing a broad-coverage ...