Peixia Yang
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Peixia Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Peixia Yang's perspective
Ordered by how strongly the researchers Peixia Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
- XGBoost: A Scalable Tree Boosting System
- Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods (Journal of computing in civil engineering)
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization (Arabian Journal of Geosciences)
- Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization
- Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate (Engineering applications of artificial intelligence)
- Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories (Safety Science)
- Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization (Geoscience Frontiers)
- Classification and Regression Trees