Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target Func
Hello, I am confused by the meaning of these four words:
Noisy Target vs Target Distribution I understand that a target distribution is a probability distribution, but how about noisy target? What is a noisy target? A value or a function or a probability distribution? Deterministic Target vs Deterministic Target Function Same above, I understand that a deterministic target function is a function, but how about deterministic target? A value or a function? And... Quote:
I am very confused... :( Thank you very much for your time spending on here. 
Re: Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target
Apologies for the confusion.
Noisy target and deterministic target refer to a specific target value (for example at a specific point x). So you have a data point (x,y). If y=f(x), we say that y is a deterministic target and f is a deterministic target function. If for the same value of x you may observe different values of y (the example in the book: several people may have the same income but some may default on credit debt and some may not), then we say that y is a noisy target  its value is not deterministically determined given x. The way we model this situation is using a target distribution P[yx]. So P[yx] is the distribution of the (noisy) target, and we call it the target distribution. Hope this helps. Quote:

Re: Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target
Quote:

Re: Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target
Quote:

Re: Noisy Target vs Target Distribution,Deterministic Target vs Deterministic Target
Quote:

All times are GMT 7. The time now is 02:34 PM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2021, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.