de Campos, Luis M. - Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada

• A comparison of learning algorithms for Bayesian networks: a case study based on data from
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• An Iterated Local Search Algorithm for Learning Bayesian Networks with Restarts
• Applied Soft Computing 4 (2004) 149158 Clustering terms in the Bayesian network retrieval model
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• On the Use of Independence Relationships for Learning Simplified Belief Networks
• Removing Partial Inconsistency in Valuation-Based Systems*
• Using second-hand information in collaborative recommender L. M. de Campos J. M. Fernandez-Luna
• User Model User-Adap Inter (2009) 19:207242 DOI 10.1007/s11257-008-9061-1
• Fuzzy Sets and Systems 159 (2008) 15541576 www.elsevier.com/locate/fss
• An Information Retrieval Model Based on Simple Bayesian Networks
• Bayesian network models for hierarchical text classification from a thesaurus
• Using context information in structured document retrieval: an approach based on influence diagrams q
• Ant colony optimization for learning Bayesian networks
• The BNR model: foundations and performance of a Bayesian
• Partial abductive inference in Bayesian belief networks using a genetic algorithm q
• Machine Learning, 59, 213235, 2005 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
• A hybrid methodology for learning belief networks: BENEDICT
• An integrated system for managing the Andalusian
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• Partial abductive inference in Bayesian belief networks by simulated annealing
• IADIS International Journal on Computer Science and Information Systems Vol. 4, No. 2, pp. 120-139
• Bayesian network learning algorithms using structural restrictions
• Journal of Machine Learning Research 7 (2006) 2149-2187 Submitted 3/06; Revised 7/06; Published 10/06 A Scoring Function for Learning Bayesian Networks based on Mutual
• Implementing Relevance Feedback in the Bayesian Network Retrieval Model
• IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 6, NO. 2, APRIL 2002 105 Partial Abductive Inference in Bayesian Belief
• Accelerating chromosome evaluation for partial abductive inference in Bayesian
• Estimating probability values from an incomplete dataset q
• A new approach for learning belief networks using independence criteria q
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• A Fuzzy Inference Model Based on an Uncertainty
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• Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks q
• Data Min Knowl Disc DOI 10.1007/s10618-011-0247-5
• Available online at www.sciencedirect.com Int. J. Human-Computer Studies 70 (2012) 321331