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1
“.... Supervised machine learning (ML) and lexicon-based are the most frequent approaches for OM. However, these...”
Swarm optimization clustering methods for opinion mining
Tese
2
“..., metaheuristic and optimization problem. Very few studies about out-of-the-box parameter control methods can...”
Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning
Tese
3
“... method of multipliers (ADMM) is the algorithm used to solve the resulting optimization problems. Message...”
Generalização do extreme learning machine regularizado para problemas de múltiplas saídas
Tese
4
Assuntos:
“...Learning space...”
Algoritmo para o aprendizado via espaço de aprendizado de W-operadores multicamadas
Dissertação
5
Assuntos:
“...[en] GENETIC ALGORITHM...”
[en] HYBRID SYSTEM FOR RULE EXTRACTION APPLIED TO DIAGNOSIS OF POWER TRANSFORMERS
Tese
6
“.... This work aims to compare the performance of the following hyperparametric optimization methods: Grid...”
Métodos de otimização hiperparamétrica: um estudo comparativo utilizando árvores de decisão e florestas aleatórias na classificação binária
Dissertação
7
“... formulated, the Genetic Algorithm and the Particle Swarm Optimization are the evolutionary methods chosen...”
Um estudo sobre métodos de Kernel para classificação e agrupamento de dados
Dissertação
8
“... the performance of the Fuzzy-LMS-OBF com alfa adaptivo algorithm with respect to other methods...”
Alocação adaptativa de banda e controle de fluxos de tráfego de redes utilizando sistemas Fuzzy e modelagem multifractal
Dissertação