Monday, December 16, 2013

[Linear regression]Matlab Code for chapter 4 p140

Matlab Code for Pattern Recognition and Machine Learning by Christopher Bishop


chapter 4,  p140 - Linear Regression


Description :

This code shows linear regression on page 140 on the text book "Pattern Recognition and Machine Learning" by Christopher Bishop

Instruction :



This code describes linear regression of sine function with polynomial. 

Lamda value is regularization coefficient that controls the relative importance of the data-dependent error and regularization term.

The regression result shows optimum result when lamda value is set to "e^(-0.31)"


Download the MATLAB code and check the result.



Download MATLAB code here :


https://drive.google.com/file/d/0B78FUAKU68mXQVlLd1VROTdYZTA/edit?usp=sharing


Tuesday, December 3, 2013

[List] Pattern Recognition and Machine Learning Theory & Code

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