Gene regulatory networks consist of interactions among genes, transcription factors, proteins, and other cellular substances, and are generally thought to play an important role in many cellular functions. The ebdbNet package implements the Empirical Bayes Dynamic Bayesian Network (EBDBN) method (Rau et al., 2010), which estimates the posterior distributions of network parameters. The method al...

Typical analytical measures in graph theory like degree centrality, betweenness and closeness centralities are very common and have long history of their successful use. However, modeling of covert, terrorist or criminal networks through social graphs do not really provide the hierarchical structure of such networks because these networks are composed of leaders and followers. In this short pap...

This research proposes a new approach to improve information retrieval systems based on multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and multi-terminology which includes MeSH thesaurus (Medical Subject Headings) SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms). Our approach, is entitled improving semantic (IMSIR), extracts disambiguates concepts retrieves ...

The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...

 Nowadays several areas present training systems based on virtual reality. In these systems the user is immersed into a virtual world to perform realistic training. However, it is important to know the quality of training to provide a status about the user performance. An online assessment system allows the user to improve his learning because it can identify, immediately after the training, w...

1 Ronei Marcos de Moraes, Department of Statistics, Federal University of Paraíba. Cidade Universitária s/n, Castelo Branco, João Pessoa-PB. 58.051-900. Brazil. [email protected] 2 Liliane dos Santos Machado, Department of Informatics, Federal University of Paraíba. Cidade Universitária s/n, Castelo Branco, João Pessoa-PB, Brazil. 58.051-900. [email protected] Abstract  Training systems based ...