Search Results - subject:"Gradient boosted decision trees"

Forecasting China's inflation rate : evidence from machine learning methods

Xu, Xingfu; Li, Shufei; Liu, Wei-han - In: International review of finance : the official journal … 25 (2025) 1, pp. 1-21

Persistent link: https://www.econbiz.de/10015334583

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations Research Perspectives 8 (2021), pp. 1-9

Traditionally, mathematical optimization methods have been applied in manufacturing industries where production scheduling is one of the most important problems and is being actively researched. Extant studies assume that processing times are known or follow a simple distribution. However, the...

Persistent link: https://www.econbiz.de/10012662841

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations research perspectives 8 (2021), pp. 1-9

Persistent link: https://www.econbiz.de/10012596666

Cascading logistic regression onto gradient boosted decision trees to predict stock market changes using technical analysis

Zhou, Feng; Zhang, Qun; Sornette, Didier; Jiang, Liu - 2018

obtained by cascading the logistic regression (LR) model onto the gradient boosted decision trees (GBDT) model. Given the same …

Persistent link: https://www.econbiz.de/10011900252

Mining massive online location-based services from user activity using best first gradient boosted distributed decision tree

Venkatesh, M.; Raj, V. Mohan; Suresh, Y. - In: International journal of enterprise network management … 11 (2020) 1, pp. 3-13

Persistent link: https://www.econbiz.de/10012287220

A feature engineering approach to wind power forecasting

Silva, Lucas - In: International Journal of Forecasting 30 (2014) 2, pp. 395-401

extracting time- and weather-related features, which were used to build gradient-boosted decision trees and linear regression …

Persistent link: https://www.econbiz.de/10010753464

A eature engineering approach to wind power forecasting : GEFCom 2012

Silva, Lucas - In: International journal of forecasting 30 (2014) 2, pp. 395-401

Persistent link: https://www.econbiz.de/10010510894