The results showed that the use of multiple binary classifiers improves the classification accuracies of disease classes compared to one multi-class classifier. In general, OVO classifiers worked out better with this data than OVA classifiers. Especially, the OVO with fc-NN yielded the highest ...
In order to effectively apply SVMs to multi-class fingerprint classification systems, we propose a novel method in which the SVMs are generated with the one-vs-all (OVA) scheme and dynamically ordered with na¨ve Bayes classifiers. This is necessary to break the ties that frequently occur when...
In order to effectively apply SVMs to multi-class fingerprint classification systems, we propose a novel method in which the SVMs are generated with the one-vs-all (OVA) scheme and dynamically ordered with naive Bayes classifiers. This is necessary to break the ties that frequently occur when ...
Algorithm 3 Multi-class SVM OvA 1: procedure Init 2: lr←0.001lr←0.001 3: 𝜆←0.01λ←0.01 4: n_iters←1000n_iters←1000 5: classifiers←list()classifiers←list() 6: end procedure 7: procedure Fit(𝑋,𝑦X,y) 8: 𝑐𝑙𝑎𝑠𝑠𝑒𝑠←unique(𝑦)classes←unique(y) 9: ...