Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+

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Abstract
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Funding Information
  • National Natural Science Foundation of China (61973306)
  • Open Project Foundation of State Key Laboratory of Synthetical Automation for Process Industries (2020-KF-21-10)
  • Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX21_2254)
  • Outstanding Youth Foundation of Jiangsu Province (BK20200086)

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