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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 ...
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 ...
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 ...
The incremental voting algorithm INC-ALVOT for supervised classification [Algoritmo de votación incremental INC-ALVOT para clasificación supervisada]
(2009)
In this paper, an incremental supervised classifier called INC-ALVOT (incremental voting algorithm) is presented. This algorithm allows handle mixed data sets which do not keep in main memory. Besides, it allows that when ...
The incremental voting algorithm INC-ALVOT for supervised classification [Algoritmo de votación incremental INC-ALVOT para clasificación supervisada]
(2009)
In this paper, an incremental supervised classifier called INC-ALVOT (incremental voting algorithm) is presented. This algorithm allows handle mixed data sets which do not keep in main memory. Besides, it allows that when ...
A new implementation of population based incremental learning method for optimizations in electromagnetics
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Incremental constraint projection methods for monotone stochastic variational inequalities
(INFORMS Inst.for Operations Res.and the Management Sciences, 2019)
We consider stochastic variational inequalities (VIs) with monotone operators where the feasible set is an intersection of a large number of convex sets. We propose a stochastic approximation method with incremental ...