Pages that link to "Item:Q5364897"
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The following pages link to Random-projection Ensemble Classification (Q5364897):
Displaying 42 items.
- Stabilizing Variable Selection and Regression (Q104197) (← links)
- Ensemble of optimal trees, random forest and random projection ensemble classification (Q138630) (← links)
- Estimating the algorithmic variance of randomized ensembles via the bootstrap (Q666594) (← links)
- Pattern recognition via projection-based \(k\)NN rules (Q962393) (← links)
- Classification by ensembles from random partitions of high-dimensional data (Q1020719) (← links)
- Randomized nonlinear projections uncover high-dimensional structure (Q1373440) (← links)
- On principal components regression, random projections, and column subsampling (Q1616329) (← links)
- Ensemble of a subset of \(k\)NN classifiers (Q1630834) (← links)
- Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data (Q1733281) (← links)
- Fuzzy \(c\)-means and cluster ensemble with random projection for big data clustering (Q1793461) (← links)
- Regularizing axis-aligned ensembles via data rotations that favor simpler learners (Q2029102) (← links)
- High-dimensional clustering via random projections (Q2129311) (← links)
- Quadratic discriminant analysis by projection (Q2140867) (← links)
- Covariance matrix testing in high dimension using random projections (Q2155009) (← links)
- High dimensional classification for spatially dependent data with application to neuroimaging (Q2209817) (← links)
- A weighted multiple classifier framework based on random projection (Q2214960) (← links)
- Reduced rank regression with matrix projections for high-dimensional multivariate linear regression model (Q2233570) (← links)
- Ensemble quantile classifier (Q2291292) (← links)
- Estimating a sharp convergence bound for randomized ensembles (Q2317334) (← links)
- Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions (Q2353006) (← links)
- On the fusion of threshold classifiers for categorization and dimensionality reduction (Q2513348) (← links)
- A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
- Random embedding machines for pattern recognition (Q2784820) (← links)
- Predictive performances of implicitly and explicitly robust classifiers on high dimensional data (Q4566316) (← links)
- (Q4998936) (← links)
- (Q4999025) (← links)
- Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (Q5037548) (← links)
- Bioinspired Random Projections for Robust, Sparse Classification (Q5056926) (← links)
- Metric Learning via Cross-Validation (Q5089466) (← links)
- (Q5143669) (← links)
- Robust ranking by ensembling of diverse models and assessment metrics (Q5887960) (← links)
- Comments on: ``A random forest guided tour'' (Q5972095) (← links)
- Comprehensive study of variational Bayes classification for dense deep neural networks (Q6067625) (← links)
- Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction (Q6069875) (← links)
- Random Projection Ensemble Classification with High-Dimensional Time Series (Q6079789) (← links)
- Random forest kernel for high-dimension low sample size classification (Q6089217) (← links)
- RaSE: A Variable Screening Framework via Random Subspace Ensembles (Q6107221) (← links)
- Statistical embedding: beyond principal components (Q6181742) (← links)
- Multiclass sparse discriminant analysis incorporating graphical structure among predictors (Q6187806) (← links)
- Learning from high dimensional data based on weighted feature importance in decision tree ensembles (Q6538421) (← links)
- Variable selection using axis-aligned random projections for partial least-squares regression (Q6547786) (← links)
- Advance of the sufficient dimension reduction (Q6602112) (← links)
