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Incremental sparse Bayesian ordinal regression

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Publication:2182878
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DOI10.1016/j.neunet.2018.07.015zbMath1434.68421arXiv1806.06553OpenAlexW2523482916WikidataQ91020002 ScholiaQ91020002MaRDI QIDQ2182878

Chang Li, Maarten de Rijke

Publication date: 26 May 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.06553

zbMATH Keywords

sparse Bayesian learningordinal regressionbasis function-based method


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Learning and adaptive systems in artificial intelligence (68T05)



Uses Software

  • ORCA
  • PRMLT


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • Support Vector Ordinal Regression
  • Accurate on-line \(\nu\)-support vector learning
  • Ordinal regression neural networks based on concentric hyperspheres
  • The unimodal model for the classification of ordinal data
  • Semi-supervised learning for ordinal kernel discriminant analysis
  • Ordinal regression based on learning vector quantization
  • 10.1162/15324430152748236
  • Improvements to Platt's SMO Algorithm for SVM Classifier Design
  • Historical Development of the Newton–Raphson Method
  • Advanced Lectures on Machine Learning
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