scientific article; zbMATH DE number 7370641
From MaRDI portal
Publication:4999101
Yiling Elaine Chen, Xin Tong, Jingyi Jessica Li
Publication date: 9 July 2021
Full work available at URL: https://arxiv.org/abs/1903.05262
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
binary classificationsampling biasmodel-freeclassical and Neyman-Pearson paradigmsmarginal feature ranking
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Oracle inequalities in empirical risk minimization and sparse recovery problems. École d'Été de Probabilités de Saint-Flour XXXVIII-2008.
- Optimal rates for plug-in estimators of density level sets
- Brownian distance covariance
- Fast learning rates for plug-in classifiers
- Smooth discrimination analysis
- Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
- Multivariate plug-in bandwidth selection
- A Neyman–Pearson Approach to Statistical Learning
- An Introduction to Statistical Learning
- Neyman-Pearson classification: parametrics and sample size requirement
- Gene selection for cancer classification using support vector machines
This page was built for publication:
