The following pages link to LightGBM (Q39626):
Displaying 28 items.
- Tree ensembles with rule structured horseshoe regularization (Q1728658) (← links)
- A data-driven newsvendor problem: from data to decision (Q1999637) (← links)
- Direct cellularity estimation on breast cancer histopathology images using transfer learning (Q2003647) (← links)
- RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods (Q2071508) (← links)
- Use of low-fidelity models with machine-learning error correction for well placement optimization (Q2085088) (← links)
- TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions (Q2097447) (← links)
- Large scale tensor regression using kernels and variational inference (Q2102330) (← links)
- A new accelerated proximal boosting machine with convergence rate \(O(1/t^2)\) (Q2103099) (← links)
- Operational research and artificial intelligence methods in banking (Q2106712) (← links)
- Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations (Q2141183) (← links)
- One-stage tree: end-to-end tree builder and pruner (Q2163237) (← links)
- Actuarial intelligence in auto insurance: claim frequency modeling with driving behavior features and improved boosted trees (Q2172034) (← links)
- Extended missing data imputation via GANs for ranking applications (Q2172630) (← links)
- Multilevel and multiscale feature aggregation in deep networks for facial constitution classification (Q2299895) (← links)
- Double-stage discretization approaches for biomarker-based bladder cancer survival modeling (Q2665187) (← links)
- High Reynolds number airfoil turbulence modeling method based on machine learning technique (Q2670056) (← links)
- The construction of transcriptional risk scores for breast cancer based on lightGBM and multiple omics data (Q2694067) (← links)
- (Q4969173) (← links)
- Randomized Gradient Boosting Machine (Q4971024) (← links)
- An empirical evaluation of machine learning performance in corporate sales growth prediction (Q5000099) (← links)
- (Q5011493) (← links)
- (Q5053199) (← links)
- (Q5053212) (← links)
- Survival Regression with Accelerated Failure Time Model in XGBoost (Q5057266) (← links)
- Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded (Q5085481) (← links)
- (Q5159426) (← links)
- Hands-On Machine Learning with R (Q5206307) (← links)
- On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling (Q5880411) (← links)
