ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost

ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost

We describe a new deep learning model - Convolutional eXtreme Gradient Boosting (ConvXGB) for classification problems based on convolutional neural nets and Chen et al.’s XGBoost. As well as image data, ConvXGB also supports the general classification problems, with a data preprocessing module. Conv...

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Bibliographic Details
Main Authors: Setthanun Thongsuwan, Saichon Jaiyen, Anantachai Padcharoen, Praveen Agarwal
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Nuclear Engineering and Technology
Subjects:
Convolutional neural network (CNN)
Classification algorithms
Deep learning
Extreme gradient boosting
XGBoost
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573319308587

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http://www.sciencedirect.com/science/article/pii/S1738573319308587

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