Conditional classification trees by weighting the Gini Impurity measure (Contributo in atti di convegno)

Type
Label
  • Conditional classification trees by weighting the Gini Impurity measure (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • D'Ambrosio Antonio; Tutore Valerio Aniello (2011)
    Conditional classification trees by weighting the Gini Impurity measure
    in New Perspectives in Statistical Modeling and Analysis. Studies in Classification, Data Analysis, and Knowledge Organization., Catania
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • D'Ambrosio Antonio; Tutore Valerio Aniello (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • ISBN 978-3-642-11362-8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • This paper introduces the concept of the conditional impurity in the framework of tree-based models in order to deal with the analysis of three-way data, where a response variable and a set of predictors are measured on a sample of objects in different occasions. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IRAT - Istituto di ricerche sulle attività terziarie (literal)
Titolo
  • Conditional classification trees by weighting the Gini Impurity measure (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-11362-8 (literal)
Abstract
  • This paper introduces the concept of the conditional impurity in the framework of tree-based models in order to deal with the analysis of three-way data, where a response variable and a set of predictors are measured on a sample of objects in different occasions. (literal)
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