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Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities

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Publication:2862304
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DOI10.1080/03610926.2013.776081zbMath1290.68109OpenAlexW2055244047MaRDI QIDQ2862304

Yann Guermeur

Publication date: 14 November 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.776081

zbMATH Keywords

ensemble methodscapacity controlmultivariate linear modelsclass posterior probability estimatesmulti-class support vector machines


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)




Cites Work

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  • Multilayer feedforward networks are universal approximators
  • Combining discriminant models with new multi-class SVMs
  • A note on Platt's probabilistic outputs for support vector machines
  • 10.1162/15324430260185628
  • The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
  • Sample Complexity of Classifiers Taking Values in ℝQ, Application to Multi-Class SVMs
  • Multicategory Support Vector Machines
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