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URL: https://cran.r-project.org/web/packages/gbm/gbm.pdf
Proper Citation: GBM R package (RRID:SCR_017301)
Description: Software R package to implement extensions to Freund and Schapire AdaBoost algorithm and Friedman gradient boosting machine. Includes regression methods for least squares, absolute loss, t distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures.
Abbreviations: GBM
Synonyms: gbm3, generalized boosted models, gbm
Resource Type: software resource, software application, data analysis software, software toolkit, data processing software
Keywords: extension, Freund and Schapire AdaBoost, algorithm, Friedman, gradient, boosting, machine, regression
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