what is bias means?
I am confused with the bias.
In wikipedia, w0 is called threshold, so I think it may be any value. But in this lecture, we make this tuple (1, x0, y0). When in perception process, all changes performed on w0 is +1 or 1, it can't reach the degree of 0.1 or more precious. Where am I wrong? 
Re: what is bias means?
Quote:
Thanks dear prof first! Assume we start at init hypothesis =(0, 0, 0), init target function is =(0.5, 2, 5) As , equals 0 or 1, = (1, 0.5, 3) etc When in iteration, , as and can only be 0 or 1, so the hypothesis function's threshold may be quite different from the target function, right? 
Re: what is bias means?
Quote:

Re: what is bias means?
Problem 1.3 proves that PLA converges (to give the correct sign for each training data point) and in steps of size x as you point out (and of size +/1 for the 0 component). As w grows in magnitude the fractional accuracy will improve, and after it has converged, normalizing w[1:] to a unit vector gives the direction vector of the separating plane and w[0] will be its' offset from the origin.

All times are GMT 7. The time now is 07:13 PM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2021, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.