Listar por tema "Neuroevolution"
Mostrando ítems 1-4 de 4
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An embedded categorical feature selector applied to the genotype-phenotype prediction problem
(2019) [Tesinas de grado]One crucial preprocessing step in many machine learning algorithms is feature selection since many predictions tasks are defined without knowledge of which attributes lying on data are relevant to the given task. The burden ... -
N3O : a NEAT expansion for improving classification and feature selection applied to microarray data
(2018) [Tesis de maestría]Microarrays are one of the major techniques employed in the study of genes expression, but the identification of expression patterns from microarray datasets is a significant challenge to overcome. In this work, besides ... -
Neuroevolution of neural network architectures using CoDeepNEAT and Keras
(2019) [Tesinas de grado]Evolution of Neural Network Architectures Using CoDeepNEAT and Keras Machine learning is a huge field of study in computer science and statistics dedicated to the execution of computational tasks through algorithms that ... -
Predição da flexibilidade de aminoácidos utilizando neuroevolução de topologias crescentes
(2016) [Tesinas de grado]Este trabalho aborda o desafio da predição da estrutura tridimensional de uma dada sequência de aminoácidos, o que foi relatado pertencer à classe dos problemas NP-Completos. É apresentado um novo método baseado na evolução ...
