LFD Book Forum  

Go Back   LFD Book Forum > Book Feedback - Learning From Data > Chapter 1 - The Learning Problem

Reply
 
Thread Tools Display Modes
  #1  
Old 09-04-2018, 10:44 PM
v_venky v_venky is offline
Junior Member
 
Join Date: Sep 2018
Posts: 2
Default Hoeffding inequality and noisy targets

I found the jump from learning a deterministic target function to learning a probability distribution a big jump. The treatment of this concept in the book was a bit too fast for me and not detailed. Also the "intuitive" justification of hoeffding in this case also was not clear to me at all -- Hoeffding seems to be a tricky concept in the sense that it's application is prone to error if one is not careful. Is there a more step-by-step explanation of this section somewhere?

One starter question in this regard is that in the basic hoeffding derivation, we have used a binary classifier i.e. the target function returns +/-1 (or possibly a multi-class classifier). In the noisy target case should the understanding be that it returns a number 'p' signifying the probability of +1 at x?
Reply With Quote
  #2  
Old 09-08-2018, 04:26 PM
htlin's Avatar
htlin htlin is offline
NTU
 
Join Date: Aug 2009
Location: Taipei, Taiwan
Posts: 587
Default Re: Hoeffding inequality and noisy targets

This lecture

https://www.csie.ntu.edu.tw/~htlin/m...08_handout.pdf

contains some materials related to noisy targets, though not a lot.

The assumption here is that we still get a deterministic classifier (to predict a noisy target). There are other settings that allow us to get a probabilistic classifier, but those are more complicated to analyze and not discussed in detail here.

Hope this helps.
__________________
When one teaches, two learn.
Reply With Quote
Reply

Tags
hoeffding's inequality, noisy target

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 10:38 AM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2018, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.