10 Properties of the proposed predictors
This chapter will further discuss the advantages and disadvantages of the proposed predictors, especially for multi-label predictors. First, the impact of noisy data in the GOA database on the performance will be discussed. The reasons why the predictors proposed in this book make improvement in multi-label classification (AD-SVM and mPLR-Loc), feature extraction (SS-Loc and HybridGO-Loc), and finding relevant subspaces (RP-SVM and R3P-Loc) will be discussed. Finally, a comprehensive comparison of all of the predictors will be presented.
10.1 Noise data in the GOA Database
As stated in Section 4.1.1, the GOA Database is constructed by various biological research communities around the world.23 It is possible ...
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