PAC Learning

PAC Learning

Churchill CompSci Talks via YouTube Direct link

Vapnik-Chervonenkis Dimension

10 of 13

10 of 13

Vapnik-Chervonenkis Dimension

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Classroom Contents

PAC Learning

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  1. 1 Intro
  2. 2 Supervised Machine Learning
  3. 3 Problem Parameters
  4. 4 Adversarial (Worst Case) Choices
  5. 5 Proper and Improper Learning
  6. 6 Agnostic Learning
  7. 7 The Theoretical Question
  8. 8 Why Probably (Approximately Correct)?
  9. 9 Learnability Example
  10. 10 Vapnik-Chervonenkis Dimension
  11. 11 VC Dimension and Proper Learnability
  12. 12 Significance and Influence of PAC
  13. 13 Criticisms of PAC

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