Sentence examples for types of boosting from inspiring English sources
We tested seven types of boosting algorithms: AdaBoost, LogitBoost, GentleBoost, RobustBoost, LPBoost, TotalBoost, and RUSBoost.
We consider different types of boosting and compare them to partial least-squares regression as an alternative.
The improvements were statistically significant for the 250 bp case with DACTAL-based boosting and on the true trees for both types of boosting (p <0.05).
On the other hand, the best quartet support score was nearly always found in a subsequent iteration, for both types of boosting techniques.
In a simulation study, we compare the performance of ABC with three types of boosting to ABC with summary statistics chosen via PLS and to ABC with all candidate statistics.
We have compared the performance of ABC with summary statistics chosen via different types of boosting to that of ABC with statistics chosen via PLS (Wegmann et al. 2009) and to that of ABC with all candidate summary statistics (Table 2).
This leaves the possibility that the type of boosting training used is inappropriate, at least in conjunction with the decoding method used, open.
M. Creusen et al. 2010; Jahangiri and Rakha 2014; Xie et al. 2009), neural networks, and cascaded classifiers trained with some type of boosting (Balali and Golparvar-Fard 2015a; Overett et al. 2014; Pettersson et al. 2008) are used for classification of traffic signs.
The following 7 parameters were estimated by means of the fitting procedure: VZV-CMI waning rate, type of boosting scenario, duration of exogenous boosting, peak fold increase following exogenous boosting, VZV reactivation probability, FoR distribution and the peak fold increase following endogenous boosting.
These findings highlight the possibility of boosting cross-type cellular and humoral immunity against highly pathogenic avian influenza A virus subtype H5N1 by seasonal influenza vaccination.
Moreover, XGBoost, a type of gradient boosting, has two major improvements: (a) speeding up the tree construction and (b) proposing a new distributed algorithm for tree searching.
