The BNR model: Foundations and performance of a Bayesian network-based retrieval model.
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Publication:1427959
DOI10.1016/J.IJAR.2003.07.011zbMath1059.68037OpenAlexW2115181259MaRDI QIDQ1427959
Juan M. Fernández-Luna, Juan F. Huete, Luis M. de Campos
Publication date: 14 March 2004
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2003.07.011
Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Information storage and retrieval of data (68P20)
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Cites Work
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- The computational complexity of probabilistic inference using Bayesian belief networks
- Independency relationships and learning algorithms for singly connected networks
- An algorithm for information structuring and retrieval
- IMPROVING THE EFFICIENCY OF THE BAYESIAN NETWORK RETRIEVAL MODEL BY REDUCING RELATIONSHIPS BETWEEN TERMS
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