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scientific article; zbMATH DE number 7370562

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7370562

Statements

scholarly article

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publication date

9 July 2021

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full work available at URL

https://arxiv.org/abs/2006.08855

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https://jmlr.csail.mit.edu/papers/v22/20-600.html

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Mathematics Subject Classification ID

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zbMATH DE Number

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zbMATH Keywords

random subspace method

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ensemble classification

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sparsity

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information criterion

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consistency

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feature ranking

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high dimensional data

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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An introduction to hypergeometric functions for economists

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Classification by ensembles from random partitions of high-dimensional data

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Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

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Covariance regularization by thresholding

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Regularizing axis-aligned ensembles via data rotations that favor simpler learners

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Bagging predictors

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Attribute bagging: Improving accuracy of classifier ensembles by using random feature subsets.

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Statistics for high-dimensional data. Methods, theory and applications.

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Random-projection Ensemble Classification

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Extended Bayesian information criteria for model selection with large model spaces

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Extended BIC for small-n-large-P sparse GLM

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Distribution-free inequalities for the deleted and holdout error estimates

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Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions

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The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis

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A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant

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Tuning Parameter Selection in High Dimensional Penalized Likelihood

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Innovated interaction screening for high-dimensional nonlinear classification

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Boosting random subspace method

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Model Selection for High-Dimensional Quadratic Regression via Regularization

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A tail inequality for quadratic forms of subgaussian random vectors

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Wrappers for feature subset selection

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On Information and Sufficiency

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Sparse Quadratic Discriminant Analysis For High Dimensional Data

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Robust Variable and Interaction Selection for Logistic Regression and General Index Models

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Estimating a sharp convergence bound for randomized ensembles

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Estimating the algorithmic variance of randomized ensembles via the bootstrap

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A direct approach to sparse discriminant analysis in ultra-high dimensions

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Targeted Random Projection for Prediction From High-Dimensional Features

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A strongly consistent procedure for model selection in a regression problem

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Sparse linear discriminant analysis by thresholding for high dimensional data

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Bagging, boosting and the random subspace method for linear classifiers

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Class prediction by nearest shrunken centroids, with applications to DNA microarrays.

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Asymptotic Statistics

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Forward Regression for Ultra-High Dimensional Variable Screening

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Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances

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On BIC’s selection consistency for discriminant analysis

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Sitelinks

Mathematics(1 entry)

mardi Publication:4998936

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