LFD Book Forum  

Go Back   LFD Book Forum > Book Feedback - Learning From Data > Chapter 4 - Overfitting

 
 
Thread Tools Display Modes
Prev Previous Post   Next Post Next
  #1  
Old 09-16-2012, 07:26 PM
munchkin munchkin is offline
Member
 
Join Date: Jul 2012
Posts: 38
Default Is It Safe For Neophytes To Go Out And Use Regularization?

Careful reading of the book and working on the related final problems has left me concerned about this. If regularization is more art than science and what works depends on the data and the application of the data (which sounds like domain expertise to me) how can a neophyte go out and know that weight decay is the right regularization technique to use for their field? The book has already made it clear that it doesn't work for everything. How will we know?

Also, are the three techniques presented ( hard-order constraint, soft-order constraint and augmented error) mutually exclusive for a given learning task? What I mean by this is that cross validation is supposed to provide the optimum lamda which corresponds to the optimum C value for soft-order constraints. If I have a set of optimum regularized weights delivered by CV can I still switch between different regularizers (low-order, uniform, etc.) when comparing the augmented error of that lamda value? Was this augmented error versus lamda comparison supposed to be part of the cross validation process?

Thanks for your attention.
Reply With Quote
 

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 05:38 PM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, 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.