ECE 595ML Lecture 21.1: Support Vector Machine - Soft SVM

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

View Presentation

Category

Online Presentations

Published on

Cite this work

Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 21.1: Support Vector Machine - Soft SVM," https://nanohub.org/resources/32752.

    BibTex | EndNote

Time

Location

WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 21.1: Support Vector Machine - Soft SVM
  • Lecture 21.1: Support Vector Machine - Soft SVM 1. Lecture 21.1: Support Vector M… 0
    00:00/00:00
  • Outline 2. Outline 103.90390390390391
    00:00/00:00
  • Linearly Not Separable 3. Linearly Not Separable 142.94294294294295
    00:00/00:00
  • Soft Margin 4. Soft Margin 369.96996996997
    00:00/00:00
  • Soft Margin 5. Soft Margin 528.09476142809478
    00:00/00:00
  • Role of C 6. Role of C 837.07040373707048
    00:00/00:00
  • No Misclassification? 7. No Misclassification? 890.22355689022356
    00:00/00:00
  • L1 Regularization 8. L1 Regularization 967.80113446780115
    00:00/00:00
  • Connection with Perceptron Algorithm 9. Connection with Perceptron Alg… 1006.6399733066401
    00:00/00:00
  • Connection with Perceptron Algorithm 10. Connection with Perceptron Alg… 1273.7404070737405
    00:00/00:00
  • Connection with Perceptron Algorithm 11. Connection with Perceptron Alg… 1343.4100767434102
    00:00/00:00
  • Comparing Loss functions 12. Comparing Loss functions 1430.6306306306308
    00:00/00:00
Pop Out