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## Search the dblp DataBase
Roberto Santana:
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## Publications of Author- Roberto Santana
**A Markov Network Based Factorized Distribution Algorithm for Optimization.**[Citation Graph (0, 0)][DBLP] ECML, 2003, pp:337-348 [Conf] - Roberto Santana, Pedro Larrañaga, José Antonio Lozano
**Mixtures of Kikuchi Approximations.**[Citation Graph (0, 0)][DBLP] ECML, 2006, pp:365-376 [Conf] - Roberto Santana, Alberto Ochoa-Rodríguez, Marta Sota, Francisco B. Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso
**Probabilistic Evolution and the Busy Beaver Problem.**[Citation Graph (0, 0)][DBLP] GECCO, 2000, pp:380- [Conf] - Roberto Santana, Pedro Larrañaga, José Antonio Lozano
**Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms.**[Citation Graph (0, 0)][DBLP] ISBMDA, 2004, pp:388-398 [Conf] - Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles
**Machine learning in bioinformatics.**[Citation Graph (0, 0)][DBLP] Briefings in Bioinformatics, 2006, v:7, n:1, pp:86-112 [Journal] - Roberto Santana
**Estimation of Distribution Algorithms with Kikuchi Approximations.**[Citation Graph (0, 0)][DBLP] Evolutionary Computation, 2005, v:13, n:1, pp:67-97 [Journal] - Roberto Santana, Pedro Larrañaga, José Antonio Lozano
**The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms.**[Citation Graph (0, 0)][DBLP] EvoBIO, 2007, pp:247-257 [Conf] - Alexander Mendiburu, Roberto Santana, Jose Antonio Lozano, Endika Bengoetxea
**A parallel framework for loopy belief propagation.**[Citation Graph (0, 0)][DBLP] GECCO (Companion), 2007, pp:2843-2850 [Conf] - Roberto Santana, Pedro Larrañaga, José Antonio Lozano
**Interactions and dependencies in estimation of distribution algorithms.**[Citation Graph (0, 0)][DBLP] Congress on Evolutionary Computation, 2005, pp:1418-1425 [Conf] **Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models.**[Citation Graph (, )][DBLP]**An EDA based on local markov property and gibbs sampling.**[Citation Graph (, )][DBLP]**Mining probabilistic models learned by EDAs in the optimization of multi-objective problems.**[Citation Graph (, )][DBLP]**Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs.**[Citation Graph (, )][DBLP]**Exact Bayesian network learning in estimation of distribution algorithms.**[Citation Graph (, )][DBLP]**Component weighting functions for adaptive search with EDAs.**[Citation Graph (, )][DBLP]**Analyzing the probability of the optimum in EDAs based on Bayesian networks.**[Citation Graph (, )][DBLP]**Side chain placement using estimation of distribution algorithms.**[Citation Graph (, )][DBLP]
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