ListarDIAN-Artículos, capítulos... por tema "Feature selection"
Mostrando ítems 1-3 de 3
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A general framework for boosting feature subset selection algorithms
(Elsevier, 2018)Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ... -
Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
(IEEE, 2022)Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these ... -
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features
(Elsevier, 2021)Data reduction is becoming increasingly relevant due to the enormous amounts of data that are constantly being produced in many fields of research. Instance selection is one of the most widely used methods for this task. ...