This is a modified implementation of the algorithm Cost Effective Active Learning (Pl. refer - CEAL). This version not only picks up the top K uncertain samples but also picks up the top N highly confident samples that may represent information and diversity. It is better than the original implementation as it does not involve tuning the confidence threshold parameter for every dataset.
This is a modified implementation of the algorithm Cost Effective Active Learning (Pl. refer - CEAL). This version not only picks up the top K uncertain samples but also picks up the top N highly confident samples that may represent information and diversity. It is better than the original implementation as it does not involve tuning the confidence threshold parameter for every dataset.