Selected article for: "training set and validation training set"

Author: Delli Ponti, Riccardo; Marti, Stefanie; Armaos, Alexandros; Tartaglia, Gian Gaetano
Title: A high-throughput approach to profile RNA structure
  • Document date: 2017_3_17
  • ID: k23xlzj0_10
    Snippet: To avoid over-fitting when optimizing ω i k and k , we varied the number of nodes proportionally to the size of the training set and performed a 5-fold cross-validation at each optimization. For k = 20 we obtain the performances reported in the Supplementary Figures S1 and S2......
    Document: To avoid over-fitting when optimizing ω i k and k , we varied the number of nodes proportionally to the size of the training set and performed a 5-fold cross-validation at each optimization. For k = 20 we obtain the performances reported in the Supplementary Figures S1 and S2.

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