Confidence sets with expected sizes for Multiclass Classification
From MaRDI portal
Publication:4637018
zbMath1441.62166arXiv1608.08783MaRDI QIDQ4637018
Mohamed Hebiri, Christophe Denis
Publication date: 17 April 2018
Full work available at URL: https://arxiv.org/abs/1608.08783
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric tolerance and confidence regions (62G15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Statistical aspects of big data and data science (62R07)
Related Items (4)
Set-Valued Support Vector Machine with Bounded Error Rates ⋮ Minimax semi-supervised set-valued approach to multi-class classification ⋮ Optimal rates for nonparametric F-score binary classification via post-processing ⋮ Efficient set-valued prediction in multi-class classification
Uses Software
Cites Work
- Support vector machines with a reject option
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment
- A decision-theoretic generalization of on-line learning and an application to boosting
- Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
- Statistical behavior and consistency of classification methods based on convex risk minimization.
- Optimal aggregation of classifiers in statistical learning.
- Empirical minimization
- Classification with confidence
- Asymptotic Statistics
- Distribution-Free Prediction Sets
- Consistency of plug-in confidence sets for classification in semi-supervised learning
- Classification with reject option
- Super Learner
- On optimum recognition error and reject tradeoff
- Convexity, Classification, and Risk Bounds
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Confidence sets with expected sizes for Multiclass Classification