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

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Sep 21, 2022 346 likes •424 views

E9 205 Machine Learning for Signal Processing Probablistic Linear Models 30-09-2019 Linear Models for Classification Optimize a modified cost function Bishop - PRML book (Chap 3) Least Squares for Classification K-class classification

SLIDE 1

E9 205 Machine Learning for Signal Processing

30-09-2019

Probablistic Linear Models

SLIDE 2

Linear Models for Classification

Bishop - PRML book (Chap 3)

❖ Optimize a modified cost function

SLIDE 3

Least Squares for Classification

Bishop - PRML book (Chap 3)

❖ K-class classification problem ❖ With 1-of-K hot encoding, and

least squares regression

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Logistic Regression

Bishop - PRML book (Chap 3)

❖ 2- class logistic regression ❖ K-class logistic regression ❖ Maximum likelihood solution ❖ Maximum likelihood solution

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Least Squares versus Logistic Regression

Bishop - PRML book (Chap 4)

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Least Squares versus Logistic Regression

Bishop - PRML book (Chap 4)