Selected article for: "small value and total number"

Author: Li, Chun; Zhao, Jialing; Wang, Changzhong; Yao, Yuhua
Title: Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation
  • Document date: 2018_2_23
  • ID: u1imic5l_40
    Snippet: , w 1 , w 2 and w 3 . Here represents the total number of correlation ranks counted (cf. Eq(6)), which is an integer. Generally speaking, the greater the value of , the more sequence-order effects will be incorporated. However, if the value is too large, it might cause the overfitting problem or 'high dimension disaster' [15] , therefore, we endeavour to limit the value of to a small integer. In this study, the five datasets (BetaSet, CoVSet, DNA.....
    Document: , w 1 , w 2 and w 3 . Here represents the total number of correlation ranks counted (cf. Eq(6)), which is an integer. Generally speaking, the greater the value of , the more sequence-order effects will be incorporated. However, if the value is too large, it might cause the overfitting problem or 'high dimension disaster' [15] , therefore, we endeavour to limit the value of to a small integer. In this study, the five datasets (BetaSet, CoVSet, DNASet, DNAeSet and DNAiSet) are arranged into two groups: one contains BetaSet, the other includes the rest. The first group is used for determining the four adjustable parameters, and the second group for testing purpose.

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