-
Notifications
You must be signed in to change notification settings - Fork 12
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
关于 Anchor Re-weighting 方法的疑问 #9
Comments
对,是这个意思,就是在(7)里尝试引入(8)里的\beta_0,然后考虑到P(Y=i|X)和A(q,p_i)近似成正比(式子6里提了)所以得到(9) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
作者您好,我阅读文章的 Anchor Re-weighting 章节后,理解的思路是:1. 将$P(Y=i | X)$ 和 $P(Y=C | X)$ 相比后,发现任意两个标签的概率分布之间都呈线性关系 2. 既然他们彼此间呈线性关系,那么就可以引入一个可学习的参数 $\beta$ 对现有的 $A(q, p_i)$ 进行线性调整。请问我这样理解的对吗?如果理解不准确的话,可以更详细的解释一下 式(7) 到 式(9) 的过程吗,谢谢!
The text was updated successfully, but these errors were encountered: