The following pages link to Applied Predictive Modeling (Q2874155):
Displaying 13 items.
- Individualized second stage corrections in data envelopment analysis (Q6572896) (← links)
- Machine learning techniques in nested stochastic simulations for life insurance (Q6579522) (← links)
- Health care fraud classifiers in practice (Q6579711) (← links)
- Deep learning models for inflation forecasting (Q6581505) (← links)
- Nonparametric failure time: time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures (Q6589247) (← links)
- Data-driven prediction of order lead time in semiconductor supply chain (Q6606613) (← links)
- Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using \textit{QuantDiffForecast}: a MATLAB toolbox and tutorial (Q6618474) (← links)
- On Data Integration Problems With Manifolds (Q6621633) (← links)
- A multiple testing framework for diagnostic accuracy studies with co-primary endpoints (Q6626744) (← links)
- Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models (Q6627825) (← links)
- Particle-based modeling and GPU-accelerated simulation of cellular blood flow (Q6641948) (← links)
- Choice of interior penalty coefficient for interior penalty discontinuous Galerkin method for Biot's system by employing machine learning (Q6648523) (← links)
- Lessons on datasets and paradigms in machine learning for symbolic computation: a case study on CAD (Q6653101) (← links)
