Particle swarm and bayesian networks applied to attribute selection for protein functional classification
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[1] Russell C. Eberhart,et al. A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[2] T. Krink,et al. Extending particle swarm optimisers with self-organized criticality , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[3] Alex Alves Freitas,et al. Predicting post-synaptic activity in proteins with data mining , 2005, ECCB/JBI.
[4] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[5] Yan Su,et al. A Particle Swarm Optimisation Approach in the Construction of Optimal Risky Portfolios , 2005, Artificial Intelligence and Applications.
[6] Marius M. Solomon,et al. Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints , 1987, Oper. Res..
[7] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[8] Dr. Alex A. Freitas. Data Mining and Knowledge Discovery with Evolutionary Algorithms , 2002, Natural Computing Series.
[9] Alex Alves Freitas,et al. A Genetic Algorithm for Solving a Capacitated p-Median Problem , 2004, Numerical Algorithms.
[10] Pedro Larrañaga,et al. Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks , 2005, Evolutionary Computation.
[11] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[12] Martin Middendorf,et al. A Hierarchical Particle Swarm Optimizer for Dynamic Optimization Problems , 2004, EvoWorkshops.
[13] James Kennedy,et al. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[14] Remco R. Bouckaert,et al. Properties of Bayesian Belief Network Learning Algorithms , 1994, UAI.
[15] Alex A. Freitas,et al. HIERARCHICAL CLASSIFICATION OF G-PROTEIN-COUPLED RECEPTORS WITH A PSO/ACO ALGORITHM , 2006 .
[16] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[17] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[18] Jürgen Branke,et al. Multi-swarm Optimization in Dynamic Environments , 2004, EvoWorkshops.
[19] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[20] Riccardo Poli,et al. Exploring extended particle swarms: a genetic programming approach , 2005, GECCO '05.
[21] Ian Witten,et al. Data Mining , 2000 .
[22] Alex Alves Freitas,et al. A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set , 2006, GECCO.