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A multi-source remote sensing and machine learning framework for maize mapping and yield estimation in fragmented Loess gully regions. [PDF]

Front Plant Sci
Sun L, Li H, Li S, Zhao S, Zhang Y, Mo Y, Zhang B, Wu Y.   +7 more
europepmc   +1 more source

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A Novel Construction Cost Prediction Model Using Hybrid Natural and Light Gradient Boosting

Advanced Engineering Informatics, 2020
Abstract In this paper, we compared the predictive capabilities of six different machine learning algorithms – linear regression, artificial neural network, random forest, extreme gradient boosting, light gradient boosting, and natural gradient boosting – and demonstrated that a hybrid light gradient boosting and natural gradient boosting model ...
Debaditya Chakraborty, Hosam Elhegazy, Lilianna Gutierrez   +2 more
exaly   +2 more sources

Incremental Natural Gradient Boosting for Probabilistic Regression

Lecture Notes in Computer Science, 2023
Chunming Yang, Xujian Zhao
exaly   +3 more sources

Uncertainty Estimation for Gradient Boosting Models Based on Gaussian Graph Model and Natural Gradient

Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2023
Daling Wang
exaly   +2 more sources

Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures Through Natural Gradient Boosting

Journal of Structural Engineering, 2022
Ertuğrul Taciroğlu, De-Cheng Feng, Shi-Zhi Chen   +2 more
exaly   +2 more sources

Accelerated Gradient Boosting

Machine Learning, 2019
International audienceGradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimization problem.
Gérard Biau
exaly   +2 more sources