2018
DOI: 10.1655/0018-0831.355
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A New Species of Enyalius (Squamata, Leiosauridae) Endemic to the Brazilian Cerrado

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Cited by 4 publications
(2 citation statements)
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“…During the RRF component of the procedure, regularization penalizes the selection of new predictors for the split of observations during the construction of RF decision trees when the information gain ( i.e ., the decrease in Gini impurity) is similar to that obtained with previously used predictors. Machine learning algorithms such as GRRF have proven effective for identifying diagnostic characters in recent papers in systematics (Breitman et al ., 2018; Murphy et al ., 2016). As a result, two GRRF analyses were performed for Hypostomus sp.…”
Section: Methodsmentioning
confidence: 99%
“…During the RRF component of the procedure, regularization penalizes the selection of new predictors for the split of observations during the construction of RF decision trees when the information gain ( i.e ., the decrease in Gini impurity) is similar to that obtained with previously used predictors. Machine learning algorithms such as GRRF have proven effective for identifying diagnostic characters in recent papers in systematics (Breitman et al ., 2018; Murphy et al ., 2016). As a result, two GRRF analyses were performed for Hypostomus sp.…”
Section: Methodsmentioning
confidence: 99%
“…However, for some highly polymorphic and taxonomic convoluted groups, additional evidence and analyses are frequently needed to provide an improved framework for taxonomic decisions (Breitman et al, 2018; Leaché et al, 2009; Pante et al, 2015). Recent methods and theoretical studies have also indicated combined analyses of morphological and molecular evidence as a more complete approach to assessing the phylogenetic relationship of squamates (Hsiang et al, 2015; Murphy et al, 2016; Pyron, 2015, 2017; Reeder et al, 2015; Wiens, 2004; Wüster et al, 2018; Zaher et al, 2019).…”
Section: Introductionmentioning
confidence: 99%