Few-shot learning for modeling cyber physical systems in non-stationary environments

HIGHLIGHTS

• who: Stavros Ntalampiras from the Department of Computer Science, University of Milan, via Celoria, Milan, Italy have published the paper: Few-shot learning for modeling cyber physical systems in non-stationary environments, in the Journal: (JOURNAL)
• what: This paper proposes a modeling scheme for physical systems operating in non-stationary small data environments. The authors propose a probabilistic data selection scheme facilitating one-shot learning. Keeping the above-mentioned requirements in mind, the authors propose to suitably enhance the one-shot learning paradigm to the present problem, where the main limitation is the fact that . . .
  

   

  

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