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American option pricing with machine learning: An extension of the Longstaff-Schwartz method
(Lociedade Brasileira de Finanças, 2021)
A survey of evolutionary algorithms for decision-tree induction
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the ...
Revisión de los árboles de clasificación y regresión (CART)Review of classification and regression trees (CART)
(Pensamiento AmericanoBarranquilla, Colombia, 2022)
Poly-bagging predictors for classification modelling for credit scoring
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
Credit scoring modelling comprises one of the leading formal tools for supporting the granting of credit. Its core objective consists of the generation of a score by means of which potential clients can be listed in the ...
Understanding biophysical and socio-economic determinants of maize (Zea mays L.) yield variability in eastern India
(ElsevierRoyal Netherlands Society for Agricultural Sciences, 2019)
Advocating better habitat use and selection models in bird ecology
(Sociedade Brasileira de Ornitologia, 2018-06)
Studies on habitat use and habitat selection represent a basic aspect of bird ecology, due to its importance in natural history, distribution, response to environmental changes, management and conservation. Basically, a ...
Simulation of behavioral profiles in the plus-maze: A Classification and Regression Tree approach
(2013-07-25)
This article introduces a simulation model of rat behavior in the elevated plus-maze, designed through a Decision trees approach using Classification and Regression algorithms. Starting from the analysis of the behavior ...