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Multi-stage classifier design

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Publication:374149
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DOI10.1007/s10994-013-5349-4zbMath1273.68306arXiv1205.4377OpenAlexW1979871898MaRDI QIDQ374149

Kirill Trapeznikov, Venkatesh Saligrama, David A. Castanon

Publication date: 22 October 2013

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1205.4377


zbMATH Keywords

boostingsequential decisioncost sensitive learningmulti-stage classification


Mathematics Subject Classification ID

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




Cites Work

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  • Planning and acting in partially observable stochastic domains
  • Cost-sensitive feature acquisition and classification
  • Advances in knowledge discovery and data mining. 7th Pacific-Asia conference, PAKDD 2003, Seoul, Korea, April 30 -- May 2, 2003. Proceedings
  • Boosting the margin: a new explanation for the effectiveness of voting methods
  • 10.1162/15324430152733133
  • Agnostic Pointwise-Competitive Selective Classification
  • On optimum recognition error and reject tradeoff
  • The elements of statistical learning. Data mining, inference, and prediction


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