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The new model parameters obtained by upweight the loss of a training instance in the book is:
However, the same formula in the original paper is:
They are very similar except one difference. The original formula is to upweight the select instance by ϵ but the formula in the book is to down-weight all the other instance except the selected one by (1 - ϵ). It seems both have the similar purpose but I am interested to know the reason behind the change.
Regards,
Eric
The text was updated successfully, but these errors were encountered:
The new model parameters obtained by upweight the loss of a training instance in the book is:
![Screenshot 2022-04-15 at 14 03 11](https://user-images.githubusercontent.com/10429223/163528375-b9db236f-9156-4e60-b271-6d00f03a71e7.png)
![Screenshot 2022-04-15 at 14 08 02](https://user-images.githubusercontent.com/10429223/163528733-ddbca189-6ba0-4610-a9f2-f2ef7bf77da1.png)
However, the same formula in the original paper is:
They are very similar except one difference. The original formula is to upweight the select instance by ϵ but the formula in the book is to down-weight all the other instance except the selected one by (1 - ϵ). It seems both have the similar purpose but I am interested to know the reason behind the change.
Regards,
Eric
The text was updated successfully, but these errors were encountered: