Information retrieval from hypertext: update on the dynamic medical handbook project
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Belief networks, hidden Markov models, and Markov random fields: a unifying view
Pattern Recognition Letters - special issue on pattern recognition in practice V
A flexible model for retrieval of SGML documents
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
Searching for information in a hypertext medical handbook
HYPERTEXT '87 Proceedings of the ACM conference on Hypertext
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Training products of experts by minimizing contrastive divergence
Neural Computation
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Dependency Networks for Relational Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Bayesian networks and information retrieval: an introduction to the special issue
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Bayesian network model for semi-structured document classification
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Using context information in structured document retrieval: an approach based on influence diagrams
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Modeling term associations for ad-hoc retrieval performance within language modeling framework
ECIR'07 Proceedings of the 29th European conference on IR research
Possibilistic logic bases and possibilistic graphs
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Editorial: Introduction to the special issue on Graphical Models and Information Retrieval
International Journal of Approximate Reasoning
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Probabilistic models constitute an important kind of Information Retrieval (IR) model. They have been long and widely used [2], and offer a principled way of managing the uncertainty that naturally appears in many elements within this field. Nowadays, the dominant approach for managing probability within the field of Artificial Intelligence is based on the use of Bayesian Networks [15, 9], and these have also been used within IR as extensions of classical probabilistic models.