scholarly journals Targeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision Making

2018 ◽  
Author(s):  
Stefan Lessmann ◽  
Kristof Coussement ◽  
Koen De Bock ◽  
Johannes Haupt
Keyword(s):  
Decision Making ◽  
Ensemble Learning ◽  
For Profit ◽  
Learning Framework ◽  
Marketing Decision

Ensemble Learning Approach with LASSO for Predicting Catalytic Reaction Rates

Synlett ◽  
2020 ◽  
Author(s):  
Akira Yada ◽  
Kazuhiko Sato ◽  
Tarojiro Matsumura ◽  
Yasunobu Ando ◽  
Kenji Nagata ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Reaction Rates ◽  
Initial Reaction Rate ◽  
Training Dataset ◽  
Initial Reaction ◽  
Learning Approach ◽  
Learning Framework ◽  
Machine Learning Approach ◽  
Reasonable Prediction ◽  
Epoxidation Of Alkenes

AbstractThe prediction of the initial reaction rate in the tungsten-catalyzed epoxidation of alkenes by using a machine learning approach is demonstrated. The ensemble learning framework used in this study consists of random sampling with replacement from the training dataset, the construction of several predictive models (weak learners), and the combination of their outputs. This approach enables us to obtain a reasonable prediction model that avoids the problem of overfitting, even when analyzing a small dataset.

scholarly journals An Asymptotic Ensemble Learning Framework for Big Data Analysis

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 3675-3693 ◽  
Author(s):  
Salman Salloum ◽  
Joshua Zhexue Huang ◽  
Yulin He ◽  
Xiaojun Chen
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Ensemble Learning ◽  
Big Data Analysis ◽  
Learning Framework
Sign in / Sign up

Export Citation Format

Share Document