Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
Our work builds a general visibility model of video packets which is applicable to various types of GOP (Group of Pictures). The data used for analysis and building the model come...
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
We present a system (ASP − PROLOG) which provides a tight and well-defined integration of Prolog and Answer Set Programming (ASP). The combined system enhances the expressive po...