Optimal weighted nearest neighbour classifiers
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Publication:741805
DOI10.1214/12-AOS1049zbMath1373.62317arXiv1101.5783WikidataQ56533609 ScholiaQ56533609MaRDI QIDQ741805
Publication date: 15 September 2014
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1101.5783
Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Uses Software
Cites Work
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- On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification
- Optimal rates for plug-in estimators of density level sets
- Optimal weighted nearest neighbour classifiers
- Choice of neighbor order in nearest-neighbor classification
- Asymptotics and optimal bandwidth selection for highest density region estimation
- Fast learning rates for plug-in classifiers
- Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates
- Consistent nonparametric regression. Discussion
- Heuristics of instability and stabilization in model selection
- Results in statistical discriminant analysis: A review of the former Soviet Union literature.
- Smooth discrimination analysis
- Bandwidth choice for nonparametric classification
- Optimal aggregation of classifiers in statistical learning.
- Support-vector networks
- Measuring mass concentrations and estimating density contour clusters -- An excess mass approach
- Statistical performance of support vector machines
- Asymptotically Minimax Adaptive Estimation. I: Upper Bounds. Optimally Adaptive Estimates
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- Theory of Classification: a Survey of Some Recent Advances
- Support Vector Machines
- A Note on Distance-Weighted k-Nearest Neighbor Rules
- Properties of Bagged Nearest Neighbour Classifiers
- Nearest neighbor pattern classification
- Random forests
- Using iterated bagging to debias regressions
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