The following pages link to (Q3327527):
Displaying 50 items.
- The central limit theorem for weighted empirical processes indexed by sets (Q578731) (← links)
- Small area estimation of the homeless in Los Angeles: an application of cost-sensitive stochastic gradient boosting (Q614137) (← links)
- A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization (Q621735) (← links)
- Preference disaggregation and statistical learning for multicriteria decision support: A review (Q621964) (← links)
- Artificial neural networks applied to cancer detection in a breast screening programme (Q622959) (← links)
- Classification trees for ordinal variables (Q626218) (← links)
- Mixed effects regression trees for clustered data (Q631554) (← links)
- Bayesian synthesis: combining subjective analyses, with an application to ozone data (Q641113) (← links)
- Sparse partitioning: nonlinear regression with binary or tertiary predictors, with application to association studies (Q641140) (← links)
- Partitioning hard clustering algorithms based on multiple dissimilarity matrices (Q645877) (← links)
- Logical analysis of data: classification with justification (Q646700) (← links)
- Classification and categorical inputs with treed Gaussian process models (Q649163) (← links)
- Pareto-optimality of oblique decision trees from evolutionary algorithms (Q652680) (← links)
- Estimating the algorithmic variance of randomized ensembles via the bootstrap (Q666594) (← links)
- Generalized random forests (Q666599) (← links)
- Partially parametric techniques for multiple imputation (Q671342) (← links)
- Classification using splines (Q671478) (← links)
- Genetic algorithms and their statistical applications: an introduction (Q671671) (← links)
- Log-normal regression modeling through recursive partitioning (Q672064) (← links)
- Evaluating the effect of optimized cutoff values in the assessment of prognostic factors (Q672077) (← links)
- Boosted coefficient models (Q693319) (← links)
- A framework for measuring differences in data characteristics (Q696961) (← links)
- Building multi-way decision trees with numerical attributes (Q707307) (← links)
- A meta-heuristic approach for improving the accuracy in some classification algorithms (Q709124) (← links)
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment (Q713643) (← links)
- Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples (Q713690) (← links)
- Bayesian Weibull tree models for survival analysis of clinico-genomic data (Q713835) (← links)
- Tree models for difference and change detection in a complex environment (Q714372) (← links)
- Context tree selection: a unifying view (Q719769) (← links)
- Improving corporate bond recovery rate prediction using multi-factor support vector regressions (Q724157) (← links)
- The lack of cross-validation can lead to inflated results and spurious conclusions: a re-analysis of the MacArthur violence risk assessment study (Q724609) (← links)
- Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
- Out-of-bag estimation of the optimal sample size in bagging (Q733150) (← links)
- Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach (Q734519) (← links)
- Kernel-based hard clustering methods in the feature space with automatic variable weighting (Q736304) (← links)
- Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians (Q736666) (← links)
- A weight-adjusted voting algorithm for ensembles of classifiers (Q743769) (← links)
- The sparse signomial classification and regression model (Q744718) (← links)
- Prediction-based regularization using data augmented regression (Q746200) (← links)
- Iterative bias reduction: a comparative study (Q746347) (← links)
- Soft-max boosting (Q747255) (← links)
- Consensus hashing (Q747259) (← links)
- Poisson dependency networks: gradient boosted models for multivariate count data (Q747270) (← links)
- Imitation learning of car driving skills with decision trees and random forests (Q747406) (← links)
- Rasch trees: a new method for detecting differential item functioning in the Rasch model (Q748201) (← links)
- On signal representations within the Bayes decision framework (Q763367) (← links)
- Ordinal forests (Q779002) (← links)
- Partially monotonic decision trees (Q781159) (← links)
- Separability of set-valued data sets and existence of support hyperplanes in the support function machine (Q781879) (← links)
- Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier (Q782457) (← links)
