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Deterministic error bounds for kernel-based learning techniques under bounded noise.

Emilio Tanowe MaddalenaPaul ScharnhorstColin N. Jones
Published in: Autom. (2021)
Keyphrases
  • error bounds
  • kernel based learning
  • theoretical analysis
  • worst case
  • wavelet synopses
  • learning problems
  • supervised learning
  • noise level
  • missing data
  • kernel learning
  • data sets
  • relational databases
  • active learning