On hybrid classification using model assisted posterior estimates

DOI10.1016/J.PATCOG.2011.12.002zbMath1234.68340OpenAlexW1981436518MaRDI QIDQ408060

Fred Godtliebsen, Anil Kumar Ghosh

Publication date: 28 March 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/10037/4948

zbMATH Keywords

cross-validationmultiscale analysisstackingLDABayes rulemisclassification ratesnearest neighbor classificationQDA

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

β-Skeleton depth functions and medians ⋮ Improved nearest neighbor classifiers by weighting and selection of predictors

Uses Software

• ElemStatLearn
• AdaBoost-SAMME
• SiZer

Cites Work

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• Bagging predictors
• Is combining classifiers with stacking better than selecting the best one?
• Locally parametric nonparametric density estimation
• On data depth and distribution-free discriminant analysis using separating surfaces
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Scale space view of curve estimation.
• Nonparametric density estimation with a parametric start
• Stacked regressions
• A Semiparametric Approach to Density Estimation
• SiZer for Exploration of Structures in Curves
• A Probabilistic Nearest Neighbour Method for Statistical Pattern Recognition
• Parametrically Guided Non‐parametric Regression
• A simple bias reduction method for density estimation
• A Nonparametric Estimate of a Multivariate Density Function
• Nearest neighbor pattern classification

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