Ant colony optimization for learning Bayesian networks
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Jose Miguel Puerta | José A. Gámez | Luis M. de Campos | Juan M. Fernández-Luna | L. M. D. Campos | J. M. Puerta | J. M. Fernández-Luna | J. A. Gamez
[1] Pedro Larrañaga,et al. Learning Bayesian networks in the space of structures by estimation of distribution algorithms , 2003, Int. J. Intell. Syst..
[2] Nir Friedman,et al. Being Bayesian about Network Structure , 2000, UAI.
[3] Solomon Kullback,et al. Information Theory and Statistics , 1970, The Mathematical Gazette.
[4] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[5] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[6] Jose Miguel Puerta,et al. Searching for the best elimination sequence in Bayesian networks by using ant colony optimization , 2002, Pattern Recognit. Lett..
[7] Luis M. de Campos,et al. A new approach for learning belief networks using independence criteria , 2000, Int. J. Approx. Reason..
[8] Stuart J. Russell,et al. Adaptive Probabilistic Networks with Hidden Variables , 1997, Machine Learning.
[9] Judea Pearl,et al. Equivalence and Synthesis of Causal Models , 1990, UAI.
[10] Doug Fisher,et al. Learning from Data: Artificial Intelligence and Statistics V , 1996 .
[11] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[12] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[13] Wray L. Buntine. A Guide to the Literature on Learning Probabilistic Networks from Data , 1996, IEEE Trans. Knowl. Data Eng..
[14] Luis M. de Campos,et al. Independency relationships and learning algorithms for singly connected networks , 1998, J. Exp. Theor. Artif. Intell..
[15] Marco Dorigo,et al. The ant colony optimization meta-heuristic , 1999 .
[16] Luca Maria Gambardella,et al. Ant Algorithms for Discrete Optimization , 1999, Artificial Life.
[17] Riccardo Poli,et al. New ideas in optimization , 1999 .
[18] Pedro Larrañaga,et al. Estimation of Distribution Algorithms , 2002, Genetic Algorithms and Evolutionary Computation.
[19] R. Bouckaert. Bayesian belief networks : from construction to inference , 1995 .
[20] Pedro Larrañaga,et al. Learning Bayesian network structures by searching for the best ordering with genetic algorithms , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[21] Moninder Singh,et al. Construction of Bayesian network structures from data: A brief survey and an efficient algorithm , 1995, Int. J. Approx. Reason..
[22] David Heckerman,et al. Learning Bayesian Networks: Search Methods and Experimental Results , 1995 .
[23] David Maxwell Chickering,et al. Learning Bayesian Networks is NP-Complete , 2016, AISTATS.
[24] P. Spirtes,et al. Causation, prediction, and search , 1993 .
[25] Andrew P. Sage,et al. Uncertainty in Artificial Intelligence , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[26] Gregory F. Cooper,et al. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.
[27] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[28] Luis M. de Campos,et al. A hybrid methodology for learning belief networks: BENEDICT , 2001, Int. J. Approx. Reason..
[29] Marek J. Druzdzel,et al. A Hybrid Anytime Algorithm for the Construction of Causal Models From Sparse Data , 1999, UAI.
[30] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[31] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[32] Wai Lam,et al. LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE , 1994, Comput. Intell..
[33] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[34] Franz von Kutschera,et al. Causation , 1993, J. Philos. Log..
[35] Pedro Larrañaga,et al. Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Heinz Mühlenbein,et al. The Equation for Response to Selection and Its Use for Prediction , 1997, Evolutionary Computation.
[37] Luis M. de Campos,et al. The Search of Causal Orderings: A Short Cut for Learning Belief Networks , 2001, ECSQARU.
[38] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[39] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .