Algorithmic aspects of determining depth functions in a procedure for optimal hypothesis selection in data classification problems
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Publication:341367
DOI10.1007/s10559-016-9872-8zbMath1349.62266OpenAlexW2522774870MaRDI QIDQ341367
Publication date: 16 November 2016
Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10559-016-9872-8
Cites Work
- Unnamed Item
- On the difficulty of approximately maximizing agreements.
- Query by committee, linear separation and random walks.
- Breakdown and groups. (With discussions and rejoinder)
- Optimal signed-rank tests based on hyperplanes
- 10.1162/153244301753683717
- Asymptotics for general multivariate kernel density derivative estimators
- PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
- A Probabilistic Nearest Neighbour Method for Statistical Pattern Recognition
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