This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
We investigate the semantics for Knowledge Query Manipulation Language KQML and we propose a semantic framework for the language. KQML is a language and a protocol to support comm...
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
In this paper I present the reasoning behind the development of a new end-to-end publishing system for academic writers. The story starts with investigating digital preservation o...