• Corpus ID: 236090339

On the Complexity of Labeled Datasets

@inproceedings{Mello2019OnTC,
  title={On the Complexity of Labeled Datasets},
  author={Rodrigo Fernandes de Mello},
  year={2019}
}
  • R. Mello
  • Published 13 November 2019
  • Computer Science
The Statistical Learning Theory (SLT) provides the foundation to ensure that a supervised algorithm generalizes the mapping f : X → Y given f is selected from its search space bias F . SLT depends on the Shattering coefficient function N (F , n) to upper bound the empirical risk minimization principle, from which one can estimate the necessary training sample size to ensure the probabilistic learning convergence and, most importantly, the characterization of the capacity of F , including its… 

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