Pages that link to "Item:Q2875744"
From MaRDI portal
The following pages link to Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory (Q2875744):
Displaying 18 items.
- Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods (Q2051254) (← links)
- A random forest guided tour (Q2629364) (← links)
- Probability estimation and machine learning -- editorial (Q2875743) (← links)
- Probability estimation with machine learning methods for dichotomous and multicategory outcome: applications (Q2875748) (← links)
- What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction? (Q2875749) (← links)
- Machine learning versus statistical modeling (Q2875750) (← links)
- Variable selection in large margin classifier-based probability estimation with high-dimensional predictors (Q2875751) (← links)
- Class probability estimation for medical studies (Q2875752) (← links)
- Risk prediction with machine learning and regression methods (Q2875754) (← links)
- Hypervolume under ROC manifold for discrete biomarkers with ties (Q3390349) (← links)
- A Categorical Principal Component Regression on Computer-Assisted Instruction in Probability Domain (Q4689255) (← links)
- Methods for correcting inference based on outcomes predicted by machine learning (Q5073229) (← links)
- Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
- The use of components’ weights improves the diagnostic accuracy of a health-related index (Q5860776) (← links)
- Rejoinder to: Probability estimation with machine learning methods for dichotomous and multicategory outcome (Q5891437) (← links)
- Correction: Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications (Q6064201) (← links)
- Spatial performance analysis in basketball with CART, random forest and extremely randomized trees (Q6170898) (← links)
- Calibrating machine learning approaches for probability estimation: a comprehensive comparison (Q6560548) (← links)
