As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
In 1997 the library department at the University of Karlskrona/Ronneby was asked to develop a database which could be used to collate and present all the research material and ong...
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
In this paper we present a method for finding general dependencies between individual agents in a multi-agent system. We use mutual information as the general measure for dependen...
George Mathews, Hugh F. Durrant-Whyte, Mikhail Pro...
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...