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 12-06-2017, 09:28 AM
saitama saitama is offline
Junior Member
 
Join Date: Dec 2017
Posts: 2
Default Exercise 1.10d

I can see why coin c_1 obeys the Hoeffding bound since we restrict our attention to a single coin (eg a single bin). And i can understand why c_min does not hold since we pick an optimal value (ie minimum) over multiple coins (kind of like the best hypothesis over multiple bins).

However, I'm having a hard time understanding why the Hoeffding bound also applies to the c_rand coin. Although we don't pick an optimal value we do consider multiple coins (eg multiple bins). Does considering multiple coins not matter in this case??
Reply With Quote
  #2  
Old 12-06-2017, 12:01 PM
don slowik don slowik is offline
Member
 
Join Date: Nov 2017
Posts: 10
Default Re: Exercise 1.10d

Just one bin is being considered after you have chosen it. Just like choosing bin 1..
Hoeffding should apply to any one of the 100,000 runs, but not to the 'best' or 'worst' run.
Reply With Quote
  #3  
Old 12-08-2017, 07:57 AM
saitama saitama is offline
Junior Member
 
Join Date: Dec 2017
Posts: 2
Default Re: Exercise 1.10d

I think I understand now. I guess the c_rand coin does only considering one bin at a time when choosing an optimal value. Its not like we search multiple coins. Thanks for the reply
Reply With Quote
Reply

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 10:58 AM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2017, 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.