Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Thanks to its increasing availability, electronic literature has become a potential source of
information for the development of complex Bayesian networks (BN), when human expertise …
information for the development of complex Bayesian networks (BN), when human expertise …
Importance sampling in Bayesian networks using probability trees
In this paper a new Monte-Carlo algorithm for the propagation of probabilities in Bayesian
networks is proposed. This algorithm has two stages: in the first one an approximate …
networks is proposed. This algorithm has two stages: in the first one an approximate …
Bayesian networks and information retrieval: an introduction to the special issue
LM de Campos, JM Fernández-Luna… - Information processing & …, 2004 - Elsevier
Bayesian networks, which nowadays constitute the dominant approach for managing
probability within the field of Artificial Intelligence, have been applied to Information Retrieval …
probability within the field of Artificial Intelligence, have been applied to Information Retrieval …
[PDF][PDF] Social information retrieval based on semantic annotation and hashing upon the multiple ontologies
S Vigneshwari, M Aramudhan - Indian Journal …, 2015 - sciresol.s3.us-east-2.amazonaws …
Ontology is the best way for representing the useful information. In this paper, we have
planned to develop a model which utilizes multiple ontologies. From those ontologies …
planned to develop a model which utilizes multiple ontologies. From those ontologies …
The BNR model: foundations and performance of a Bayesian network-based retrieval model
LM de Campos, JM Fernandez-Luna… - International Journal of …, 2003 - Elsevier
This paper presents an information retrieval model based on the Bayesian network
formalism. The topology of the network (representing the dependence relationships between …
formalism. The topology of the network (representing the dependence relationships between …
Bayesian belief networks for IR
MAP de Cristo, PP Calado, ML Da Silveira… - International Journal of …, 2003 - Elsevier
We review the application of Bayesian belief networks to several information retrieval
problems, showing that they provide an effective and flexible framework for modeling distinct …
problems, showing that they provide an effective and flexible framework for modeling distinct …
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
The retrieval performance of an information retrieval system usually increases when it uses
the relationships among the terms contained in a given document collection. However, this …
the relationships among the terms contained in a given document collection. However, this …
A Bayesian network approach to searching Web databases through keyword-based queries
On-line information services have become widespread in the Web nowadays. However,
Web users are non-specialized and have a great variety of interests. Interfaces for Web …
Web users are non-specialized and have a great variety of interests. Interfaces for Web …
The effectiveness of automatically structured queries in digital libraries
Structured or fielded metadata is the basis for many digital library services, including
searching and browsing. Yet, little is known about the impact of using structure on the …
searching and browsing. Yet, little is known about the impact of using structure on the …
[HTML][HTML] A Bayesian network coding scheme for annotating biomedical information presented to genetic counseling clients
N Green - Journal of Biomedical Informatics, 2005 - Elsevier
We developed a Bayesian network coding scheme for annotating biomedical content in
layperson-oriented clinical genetics documents. The coding scheme supports the …
layperson-oriented clinical genetics documents. The coding scheme supports the …