E9 205 Machine Learning for Signal Processing Linear Models for - - PowerPoint PPT Presentation

e9 205 machine learning for signal processing
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E9 205 Machine Learning for Signal Processing Linear Models for - - PowerPoint PPT Presentation

E9 205 Machine Learning for Signal Processing Linear Models for Regression and 23-09-2019 Classification Linear Regression Solution to Maximum Likelihood problem is the least squares solution Pseudo Inverse Based Solution Bishop - PRML


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E9 205 Machine Learning for Signal Processing

23-09-2019

Linear Models for Regression and Classification

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SLIDE 2

Linear Regression

Bishop - PRML book (Chap 3)

❖ Solution to Maximum Likelihood problem is the least

squares solution

Pseudo Inverse Based Solution

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Choice of Basis Functions

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Regularized Least Squares

Bishop - PRML book (Chap 3)

❖ Optimize a modified cost function

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SLIDE 5

Regularized Least Squares

Bishop - PRML book (Chap 3)

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SLIDE 6

Choice of Regularization Parameter

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SLIDE 7

Choice of Regularization Parameter