This paper incorporates Belief Propagation into an instance of Estimation of Distribution Algorithms called Estimation of Bayesian Networks Algorithm. Estimation of Bayesian Networks Algorithm learns a Bayesian network at each step. The objective of the proposed variation is to increase the search capabilities by extracting information of the, computationally costly to learn, Bayesian network. ...

Keyword-based search returns its results without concern for the information needs of users. In general, search queries are too short to represent what users want, and thus it is necessary to represent users’ intended semantics more accurately. Our goal is to enrich the semantics of user-specific information (e.g., users’ queries and preferences) and documents with their corresponding concepts ...

Belief Networks in the Bayesian approach provide a wellestablished methodology to fuse prior knowledge and statistical observations for an enriched decision support. In this paper we investigate one of the advantages of the Bayesian approach the provided additional uncertainty information for predictions in a medical classification problem. We perform a Bayesian analysis using Belief Network mo...