LightGBM
From MaRDI portal
Software:39626
No author found.
Source code repository: https://github.com/Microsoft/LightGBM
Related Items (28)
On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling ⋮ Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations ⋮ Survival Regression with Accelerated Failure Time Model in XGBoost ⋮ Hands-On Machine Learning with R ⋮ One-stage tree: end-to-end tree builder and pruner ⋮ Unnamed Item ⋮ Actuarial intelligence in auto insurance: claim frequency modeling with driving behavior features and improved boosted trees ⋮ Extended missing data imputation via GANs for ranking applications ⋮ Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded ⋮ Double-stage discretization approaches for biomarker-based bladder cancer survival modeling ⋮ High Reynolds number airfoil turbulence modeling method based on machine learning technique ⋮ The construction of transcriptional risk scores for breast cancer based on lightGBM and multiple omics data ⋮ Unnamed Item ⋮ Tree ensembles with rule structured horseshoe regularization ⋮ Unnamed Item ⋮ Unnamed Item ⋮ A data-driven newsvendor problem: from data to decision ⋮ Direct cellularity estimation on breast cancer histopathology images using transfer learning ⋮ Multilevel and multiscale feature aggregation in deep networks for facial constitution classification ⋮ Randomized Gradient Boosting Machine ⋮ RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods ⋮ An empirical evaluation of machine learning performance in corporate sales growth prediction ⋮ Use of low-fidelity models with machine-learning error correction for well placement optimization ⋮ Unnamed Item ⋮ TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions ⋮ Large scale tensor regression using kernels and variational inference ⋮ A new accelerated proximal boosting machine with convergence rate \(O(1/t^2)\) ⋮ Operational research and artificial intelligence methods in banking
This page was built for software: LightGBM