Result 1 to 20 of 153 total
Continuous estimation of distribution algorithms based on factorized Gaussian Markov networks. (English)
Shakya, Siddhartha (ed.) et al., Markov networks in evolutionary computation. Berlin: Springer (ISBN 978-3-642-28899-9/hbk; 978-3-642-28900-2/ebook). Adaptation, Learning, and Optimization 14, 157-173 (2012).
1
Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms. (English)
J. Heuristics 17, No. 5, 567-588 (2011).
2
The von Mises naive Bayes classifier for angular data. (English)
Lozano, Jose A. (ed.) et al., Advances in artificial intelligence. 14th conference of the Spanish association for artificial intelligence, CAEPIA 2011, La Laguna, Spain, November 7‒11, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25273-0/pbk). Lecture Notes in Computer Science 7023. Lecture Notes in Artificial Intelligence, 145-154 (2011).
3
Multi-dimensional classification with Bayesian networks. (English)
Int. J. Approx. Reasoning 52, No. 6, 705-727 (2011).
4
Multi-objective optimization with joint probabilistic modeling of objectives and variables. (English)
Takahashi, Ricardo H. C. (ed.) et al., Evolutionary multi-criterion optimization. 6th international conference, EMO 2011, Ouro Preto, Brazil, April 5‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-19892-2/pbk). Lecture Notes in Computer Science 6576, 298-312 (2011).
5
Probabilistic graphical models in artificial intelligence. (English)
Appl. Soft. Comput. 11, No. 2, 1511-1528 (2011).
6
Regularized logistic regression without a penalty term: an application to cancer classification with microarray data (English)
Expert Syst. Appl. 38, No. 5, 5110-5118 (2011).
7
Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals (English)
Scientometrics 89, No. 2, 523-551 (2011).
8
Optimizing brain networks topologies using multi-objective evolutionary computation (English)
Neuroinformatics 9, No. 1, 3-19 (2011).
9
Models and simulation of 3D neuronal dendritic trees using Bayesian networks (English)
Neuroinformatics 9, No. 4, 347-369 (2011).
10
Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms (English)
IEEE/ACM Trans. Comput. Biology Bioinform. 8, No. 3, 760-774 (2011).
11
Affinity propagation enhanced by estimation of distribution algorithms (English)
GECCO, 331-338 (2011).
12
Regularized k-order Markov models in edas (English)
GECCO, 593-600 (2011).
13
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods (English)
GECCO (Companion), 91-92 (2011).
14
Bayesian chain classifiers for multidimensional classification (English)
IJCAI, 2192-2197 (2011).
15
Multi-objective optimization with joint probabilistic modeling of objectives and variables (English)
EMO, 298-312 (2011).
16
The von mises naive Bayes classifier for angular data (English)
CAEPIA, 145-154 (2011).
17
Learning factorizations in estimation of distribution algorithms using affinity propagation. (English)
Evol. Comput. 18, No. 4, 515-546 (2010).
18
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables. (English)
Expert Syst. Appl. 37, No. 1, 804-815 (2010).
19
Mining concept-drifting data streams containing labeled and unlabeled instances. (English)
García-Pedrajas, Nicolás (ed.) et al., Trends in applied intelligent systems. 23rd international conference on industrial engineering and other applications of applied intelligent systems, IEA/AIE 2010, Cordoba, Spain, June 1‒4, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-13021-2/pbk). Lecture Notes in Computer Science 6096. Lecture Notes in Artificial Intelligence, 531-540 (2010).
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Result 1 to 20 of 153 total
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