This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Abstract: The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
We propose an efficient dialogue management for an information navigation system based on a document knowledge base with a spoken dialogue interface. In order to perform robustly ...
— Software measures are important to evaluate software properties like complexity, reusability, maintainability, effort required, etc. Collecting such data is difficult because o...
Alberto Sillitti, Andrea Janes, Giancarlo Succi, T...