Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang