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A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
(2006-11-21)
To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2007-04-01)
To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2007-04-01)
To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those ...
A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
(2006-11-21)
To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for ...
Incremental missing data imputation via modified granular evolving fuzzy modelImputação incremental de dados faltantes via modelo granular fuzzy evolutivo modificado
(Universidade Federal de LavrasPrograma de Pós-Graduação em Engenharia de Sistemas e AutomaçãoUFLAbrasilDepartamento de Engenharia, 2018)
Aprendizado supervisionado incremental de redes bayesianas para mineração de dados
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2007-08-29)
The objective of this work is to introduce two algorithms for supervised Bayesian network incremental learning, AIP (Algorithm for simple Bayesian network numerical parameters supervised incremental learning) and ABC
(Algorithm ...
Self-improving generative artificial neural network for pseudorehearsal incremental class learning
(Algorithms, 2019)
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid ...
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification
(2021-10-01)
Non-technical losses stand for the energy consumed but not billed, affecting the energy grid as a whole. Such an issue somehow prevails in developing countries, harming the quality of energy and preventing social programs ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2014)