ECE 595ML Lecture 29.1: Bias and Variance - From VC Analysis to Bias-Variance

By Stanley H. Chan

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

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 29.1: Bias and Variance - From VC Analysis to Bias-Variance," https://nanohub.org/resources/32875.

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Purdue University, West Lafayette, IN

ECE 595ML Lecture 29.1: Bias and Variance - From VC Analysis to Bias-Variance
  • Lecture 29.1: Bias and Variance - From VC Analysis to Bias-Variance 1. Lecture 29.1: Bias and Varianc… 0
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  • Outline 2. Outline 18.752085418752085
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  • Generalizing the Generalization Bound 3. Generalizing the Generalizatio… 45.278611945278612
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  • Trade-off Curve 4. Trade-off Curve 113.64698031364698
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  • VC Analysis 5. VC Analysis 136.93693693693695
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  • From VC Analysis to Bias-Variance 6. From VC Analysis to Bias-Varia… 296.76343009676344
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  • Changing the Error Measure 7. Changing the Error Measure 394.56122789456123
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  • Dependency on Training Set 8. Dependency on Training Set 452.9195862529196
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  • Averaging over all D 9. Averaging over all D 576.71004337671
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  • Decomposing Eout(g(D)) 10. Decomposing Eout(g(D)) 673.50684017350682
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  • The Average g(x) 11. The Average g(x) 848.28161494828169
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  • Bias and Variance 12. Bias and Variance 930.13013013013017
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  • Bias and Variance 13. Bias and Variance 1099.1991991991993
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  • Bias and Variance 14. Bias and Variance 1145.0116783450117
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  • Interpreting the Bias-Variance 15. Interpreting the Bias-Variance 1174.7747747747749
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  • Model Complexity 16. Model Complexity 1307.9746413079747
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