Pages that link to "Item:Q961845"
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The following pages link to Estimating classification error rate: repeated cross-validation, repeated hold-out and bootstrap (Q961845):
Displaying 41 items.
- Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure (Q394993) (← links)
- Functional methods for classification of different petrographic varieties by means of reflectance spectra (Q632152) (← links)
- Mean-variance-skewness-entropy measures: a multi-objective approach for portfolio selection (Q657529) (← links)
- On the accuracy of cross-validation in the classification problem (Q832978) (← links)
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables (Q901561) (← links)
- An experimental comparison of cross-validation techniques for estimating the area under the ROC curve (Q901569) (← links)
- On the performance of the flexible maximum entropy distributions within partially adaptive estimation (Q901610) (← links)
- Bootstrap estimated true and false positive rates and ROC curve (Q961178) (← links)
- On the generative-discriminative tradeoff approach: interpretation, asymptotic efficiency and classification performance (Q962274) (← links)
- Discriminant analysis with Gaussian graphical tree models (Q1622030) (← links)
- Mean field variational Bayesian inference for support vector machine classification (Q1623434) (← links)
- Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation (Q1722724) (← links)
- Bolstered error estimation (Q1764066) (← links)
- On the biases of error estimators in prediction problems (Q1903172) (← links)
- Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter (Q2037488) (← links)
- Learning quantities of interest from dynamical systems for observation-consistent inversion (Q2060144) (← links)
- Block-regularized repeated learning-testing for estimating generalization error (Q2201671) (← links)
- Support vector regression for polyhedral and missing data (Q2241195) (← links)
- Markov cross-validation for time series model evaluations (Q2282291) (← links)
- Gradient methods for solving Stackelberg games (Q2290375) (← links)
- Adversarial classification: an adversarial risk analysis approach (Q2302772) (← links)
- Discriminant analysis for discrete variables derived from a tree-structured graphical model (Q2303052) (← links)
- Binary trees for dissimilarity data (Q2445602) (← links)
- Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods (Q2445750) (← links)
- Fast robust estimation of prediction error based on resampling (Q2445765) (← links)
- Optimal convex error estimators for classification (Q2498665) (← links)
- Exact performance of error estimators for discrete classifiers (Q2568079) (← links)
- Improvement of ID3 algorithm based on simplified information entropy and coordination degree (Q2633199) (← links)
- A Robust Alternative to the Schemper-Henderson Estimator of Prediction Error (Q3013982) (← links)
- Bootstrapped and smoothed classification error rate estimators (Q3471487) (← links)
- On the bias and variability of bootstrap and cross-validation estimates of error rate in discrimination problems (Q4015833) (← links)
- Validation of average error rate over classifiers (Q4216213) (← links)
- ASSESSING ERROR RATE ESTIMATORS: THE LEAVE‐ONE‐OUT METHOD RECONSIDERED (Q4347561) (← links)
- Group regularization for zero-inflated poisson regression models with an application to insurance ratemaking (Q5036649) (← links)
- A Comparison of Nonparametric Error Rate Estimation Methods in Classification Problems (Q5122494) (← links)
- (Q5214189) (← links)
- Estimation of predictive performance in high-dimensional data settings using learning curves (Q6167040) (← links)
- Machine learning for structural design models of continuous beam systems via influence zones (Q6557667) (← links)
- Protecting classifiers from attacks (Q6579153) (← links)
- Nonconvex SVM for cancer diagnosis based on morphologic features of tumor microenvironment (Q6616362) (← links)
- Convex and nonconvex nonparametric frontier-based classification methods for anomaly detection (Q6667804) (← links)
