View Single Post
  #24  
Old 09-30-2012, 05:16 AM
magdon's Avatar
magdon magdon is offline
RPI
 
Join Date: Aug 2009
Location: Troy, NY, USA.
Posts: 595
Default Re: Problem 2.24

Yes, when computing bias and var numerically you need to generate many data sets. For example, \bar g(\mathbf{x}) is the average function that results from learning on each of these data sets.

Quote:
Originally Posted by nahgnaw View Post
When we design the numerical experiment, shall we randomly generate more datasets to determine g_bar(x), E_out, bias, and var?
__________________
Have faith in probability
Reply With Quote