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The Learning Problem and Regularization

The Learning Problem and Regularization

MITCBMM via YouTube Direct link

Introduction

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1 of 13

Introduction

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The Learning Problem and Regularization

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  1. 1 Introduction
  2. 2 Training set
  3. 3 Key Property
  4. 4 Expected Error
  5. 5 Generalization Error
  6. 6 Consistency
  7. 7 Learning Algorithm
  8. 8 Stability
  9. 9 Wellposed Problems
  10. 10 Empirical Risk minimization
  11. 11 Example
  12. 12 Regularization
  13. 13 Reproducing Kernel Burst Spaces

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