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Training v-Support Vector Regression: Theory and Algorithms

Neural Computation (2002) 14 (8): 1959–1977.
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  • Alessandra Raffaetà
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  • Fabio Pranovi
  • Giulia Rovinelli
  • Elisabetta Russo
  • Claudio Silvestri
  • Amilcar Soares
  • Stan Matwin
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  • Yisong Zhou
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  • Wenzheng Yue
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