Concepedia

Development of ensemble learning techniques and sequential model-based optimization for enhancing the generalizability of shale wettability predictions

Tianru Song, Zhu Weiyao, Bin Pan, Hongqing Song, Zhangxin Chen, Ming Yue

Marine and Petroleum Geology · 2024 · 12 citations · 40 references

Concepts

EngineeringGeological EngineeringPetroleum EngineeringOptimizationReservoir EngineeringReservoir SimulationEnsemble ForecastingEnsemble LearningEnsemble MethodsEnsemble ModelingGeostatistical Reservoir ModelingReservoir ForecastingEnsemble Learning TheoryEnsemble-based PredictionSequential Model SelectionSequential Model-based OptimizationSequential Optimization

References

40

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Guolin Ke, Qi Meng, Thomas Finley et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2017 · 9.5K citations · Full text

Computing, Computer Science, Data Mining +16

Random search for hyper-parameter optimization

James Bergstra, Yoshua Bengio · 2012 · 7.9K citations

Natural Sciences, Computer Science, Algorithms +8

On hyperparameter optimization of machine learning algorithms: Theory and practice

Li Yang, Abdallah Shami · Neurocomputing · 2020 · 3.1K citations · Full text

Computing, Computer Science, Algorithms +11