Jump to content
Sign in to follow this  
Scipion

Machine learning

Recommended Posts

Hi everyone,

i'm a very beginner in Machine Learning and i hope that you can help me a bit.

I'm working on Linear discriminants and i have to solve this problem :

 

What are the values of weights : w0, w1, w2 for perceptron whose decision boundary is illustrated here :

 

 

 

 

graphml.png

 

 

The decision boundary looks like a trivial function : 2/3x + 2

However, i don't know how to determine the weight.

I know that : g(x) = W^t * X + w0 (where capital letters are vectors).

when g(x)>0 : i decide omega1

g(x)<0 : omega2

g(x) = 0 : it corresponds to the decision boundary.

 

In my set of datas, i have some label x1 and some label x2. (according to their positions)

 

However, i don't know how to find the values for the weights.

If anyone has an idea.

Edited by Scipion

Share this post


Link to post
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
Sign in to follow this  

×
×
  • Create New...

Important Information

We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.