The following pages link to (Q3327527):
Displaying 50 items.
- Feature ranking for multi-target regression (Q782468) (← links)
- Almost surely consistent nonparametric regression from recursive partitioning schemes (Q795439) (← links)
- Qualitatively faithful quantitative prediction (Q814624) (← links)
- A stochastic knowledge-based Thai text-to-speech system (Q815290) (← links)
- Learning optimal decision trees using constraint programming (Q823772) (← links)
- Application of VBGMM for pitch type classification: analysis of TrackMan's pitch tracking data (Q825316) (← links)
- Hybrid adaptive index model for binary response data (Q825330) (← links)
- Mathematical optimization in classification and regression trees (Q828748) (← links)
- Prediction of non-stationary response functions using a Bayesian composite Gaussian process (Q829711) (← links)
- Subgroup causal effect identification and estimation via matching tree (Q830100) (← links)
- Angle-based cost-sensitive multicategory classification (Q830425) (← links)
- The Delaunay triangulation learner and its ensembles (Q830534) (← links)
- Cost-sensitive ensemble learning: a unifying framework (Q832635) (← links)
- Wavelet-based acoustic detection of moving vehicles (Q835720) (← links)
- Evaluation of new service development strategies using multicriteria analysis: predicting the success of innovative hospitality services (Q839981) (← links)
- Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families (Q851794) (← links)
- MODL: a Bayes optimal discretization method for continuous attributes (Q851870) (← links)
- Logistic regression using covariates obtained by product-unit neural network models (Q853094) (← links)
- An experimental evaluation of some classification methods (Q857794) (← links)
- Trainable fusion rules. I. Large sample size case (Q858881) (← links)
- An analysis of the redundancy of graph invariants used in chemoinformatics (Q860409) (← links)
- Comparison of the Bayesian and randomised decision tree ensembles within an uncertainty envelope technique (Q864940) (← links)
- On bagging and nonlinear estimation (Q866611) (← links)
- Splitting variable selection for multivariate regression trees (Q871009) (← links)
- Improved customer choice predictions using ensemble methods (Q872292) (← links)
- Clustering reduced interval data using Hausdorff distance (Q880910) (← links)
- Extension of multivariate regression trees to interval data. Application to elasticity load profiling (Q880915) (← links)
- Estimating mixtures of truncated exponentials in hybrid Bayesian networks (Q882936) (← links)
- A logistic regression framework for information technology outsourcing lifecycle management (Q883570) (← links)
- Accelerating feature-vector matching using multiple-tree and sub-vector methods (Q885176) (← links)
- Rationale and applications of survival tree and survival ensemble methods (Q888036) (← links)
- Two-level quantile regression forests for bias correction in range prediction (Q890300) (← links)
- A new variable importance measure for random forests with missing data (Q892440) (← links)
- Regularized Bayesian estimation of generalized threshold regression models (Q899014) (← links)
- A metric for measurable partitions (Q899154) (← links)
- Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (Q902909) (← links)
- Constrained dual scaling for detecting response styles in categorical data (Q906048) (← links)
- Structures and assumptions: strategies to harness gene \(\times\) gene and gene \(\times\) environment interactions in GWAS (Q908125) (← links)
- Heuristic least-cost computation of discrete classification functions with uncertain argument values (Q918437) (← links)
- A note on data structures for maintaining bipartitions (Q924550) (← links)
- Logic classification and feature selection for biomedical data (Q929151) (← links)
- Detecting multiple mean breaks at unknown points in official time series (Q929718) (← links)
- Region-based image retrieval with high-level semantics using decision tree learning (Q931685) (← links)
- Inferring strategies from observed actions: a nonparametric, binary tree classification approach (Q951416) (← links)
- Split models for contingency tables (Q951894) (← links)
- Multilayer statistical classifiers (Q951899) (← links)
- Resampling methods for variable selection in robust regression (Q951933) (← links)
- Variable predictive models-a new multivariate classification approach for pattern recognition applications (Q955809) (← links)
- Curves discrimination: a nonparametric functional approach (Q956742) (← links)
- A note on split selection bias in classification trees (Q956844) (← links)
