Assessing robustness of classification using an angular breakdown point
From MaRDI portal
Publication:1990584
DOI10.1214/17-AOS1661zbMath1408.62121OpenAlexW2889646056WikidataQ57181123 ScholiaQ57181123MaRDI QIDQ1990584
Guan Yu, Yu Feng Liu, Jun-Long Zhao
Publication date: 25 October 2018
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aos/1536631277
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Robustness and adaptive procedures (parametric inference) (62F35) Learning and adaptive systems in artificial intelligence (68T05)
Related Items
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion, Robust multicategory support matrix machines, Quantitative robustness of instance ranking problems, Modal Principal Component Analysis
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On qualitative robustness of support vector machines
- High-breakdown robust multivariate methods
- Robust inference by influence functions
- A decision-theoretic generalization of on-line learning and an application to boosting
- Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV.
- DC programming: overview.
- Robust Truncated Hinge Loss Support Vector Machines
- Breakdown in Nonlinear Regression
- The Influence Curve and Its Role in Robust Estimation
- On ψ-Learning
- Comprehensive Definitions of Breakdown Points for Independent and Dependent Observations
- An Alternative Definition of Finite-Sample Breakdown Point with Application to Regression Model Estimators
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
- A General Qualitative Definition of Robustness
- Multicategory ψ-Learning