LFD Book Forum Hm 4, q#2
 User Name Remember Me? Password
 FAQ Calendar Mark Forums Read

 Thread Tools Display Modes
#1
06-19-2013, 10:53 PM
 samihaq Member Join Date: May 2012 Posts: 15
Hm 4, q#2

I am taking N from 1 to 10000. So when calculating Devroye bound(d), i replace m_H(N^2) with (N^2)^dvc then it goes to infinity very quickly. I am using fixed point iteration to calculate the implicit bounds for each N. What i am doing wrong ?

Can someone plz post the graph for all four bounds ?

Thank you very much
#2
06-20-2013, 12:02 AM
 yaser Caltech Join Date: Aug 2009 Location: Pasadena, California, USA Posts: 1,478
Re: Hm 4, q#2

Quote:
 Originally Posted by samihaq I am taking N from 1 to 10000. So when calculating Devroye bound(d), i replace m_H(N^2) with (N^2)^dvc then it goes to infinity very quickly.
You may want to take advantage of the fact that the bound involves the logarithm of this quantity, and use the identity to simplify the computation.
__________________
Where everyone thinks alike, no one thinks very much
#3
06-20-2013, 05:49 PM
 samihaq Member Join Date: May 2012 Posts: 15
Re: Hm 4, q#2

Thank you very much Professor.

 Thread Tools Display Modes Linear Mode

 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 Rules
 Forum Jump User Control Panel Private Messages Subscriptions Who's Online Search Forums Forums Home General     General Discussion of Machine Learning     Free Additional Material         Dynamic e-Chapters         Dynamic e-Appendices Course Discussions     Online LFD course         General comments on the course         Homework 1         Homework 2         Homework 3         Homework 4         Homework 5         Homework 6         Homework 7         Homework 8         The Final         Create New Homework Problems Book Feedback - Learning From Data     General comments on the book     Chapter 1 - The Learning Problem     Chapter 2 - Training versus Testing     Chapter 3 - The Linear Model     Chapter 4 - Overfitting     Chapter 5 - Three Learning Principles     e-Chapter 6 - Similarity Based Methods     e-Chapter 7 - Neural Networks     e-Chapter 8 - Support Vector Machines     e-Chapter 9 - Learning Aides     Appendix and Notation     e-Appendices

All times are GMT -7. The time now is 11:19 AM.

 Contact Us - LFD Book - Top