The following pages link to (Q3093216):
Displaying 39 items.
- Minimization and estimation of the variance of prediction errors for cross-validation designs (Q146416) (← links)
- Classifier variability: accounting for training and testing (Q411930) (← links)
- Derivation of an artificial gene to improve classification accuracy upon gene selection (Q441727) (← links)
- A comparison of collapsed Bayesian methods for probabilistic finite automata (Q479467) (← links)
- Model building using bi-level optimization (Q620522) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- Performance evaluation of classification algorithms by \(k\)-fold and leave-one-out cross validation (Q1669607) (← links)
- Composite kernel learning (Q1959567) (← links)
- Geometric deep learning for computational mechanics. I: Anisotropic hyperelasticity (Q2021107) (← links)
- Interpolation of sparse high-dimensional data (Q2048831) (← links)
- Application of general regression neural network in identifying interfacial parameters under mixed-mode fracture (Q2083815) (← links)
- Comprehensive analysis of gradient-based hyperparameter optimization algorithms (Q2158645) (← links)
- Predicting solutions of large-scale optimization problems via machine learning: a case study in blood supply chain management (Q2177838) (← links)
- On the asymptotic behaviour of the variance estimator of a \(U\)-statistic (Q2189102) (← links)
- A comparison study of similarity measures for covering-based neighborhood classifiers (Q2195335) (← links)
- Model-based clustering of count processes (Q2236763) (← links)
- Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning (Q2242334) (← links)
- Markov cross-validation for time series model evaluations (Q2282291) (← links)
- Optimality of training/test size and resampling effectiveness in cross-validation (Q2317259) (← links)
- Application of Bayesian penalized spline regression for internal modeling in life insurance (Q2323667) (← links)
- Support vector regression based on grid-search method for short-term wind power forecasting (Q2336761) (← links)
- A novel divide-and-merge classification for high dimensional datasets (Q2359355) (← links)
- Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods (Q2445750) (← links)
- Brain-Inspired Constructive Learning Algorithms with Evolutionally Additive Nonlinear Neurons (Q4566447) (← links)
- Regularizing portfolio optimization (Q5131405) (← links)
- An efficient variance estimator for cross-validation under partition sampling (Q5163049) (← links)
- Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation (Q5302481) (← links)
- Blocked 3×2 Cross-Validated <i>t</i>-Test for Comparing Supervised Classification Learning Algorithms (Q5378319) (← links)
- Credible Intervals for Precision and Recall Based on a<i>K</i>-Fold Cross-Validated Beta Distribution (Q5380559) (← links)
- Block-Regularized <i>m</i> × <i>2</i> Cross-Validated Estimator of the Generalization Error (Q5380660) (← links)
- Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process (Q5880409) (← links)
- Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score (Q6097556) (← links)
- Estimation of predictive performance in high-dimensional data settings using learning curves (Q6167040) (← links)
- Unbiased estimator for the variance of the leave-one-out cross-validation estimator for a Bayesian normal model with fixed variance (Q6170143) (← links)
- Underestimation estimators to Q-learning (Q6195179) (← links)
- Honest leave-one-out cross-validation for estimating post-tuning generalization error (Q6541825) (← links)
- Cross-Validation: What Does It Estimate and How Well Does It Do It? (Q6567939) (← links)
- Testing the relative performance of data adaptive prediction algorithms: a generalized test of conditional risk differences (Q6632726) (← links)
- Prediction of mechanical property of open-hole composite laminates using generalized regression neural network method (Q6661891) (← links)
