ECE 595ML Lecture 24.2: Probability Approximate Correct - PAC Framework

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 24.2: Probability Approximate Correct - PAC Framework," https://nanohub.org/resources/32761.

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Purdue University, West Lafayette, IN

ECE 595ML Lecture 24.2: Probability Approximate Correct - PAC Framework
  • Lecture 24.2: Probably Approximately Correct - PAC Framework 1. Lecture 24.2: Probably Approxi… 0
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  • Outline 2. Outline 9.10910910910911
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  • Accuracy and Confidence 3. Accuracy and Confidence 43.943943943943943
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  • Probably Approximately Correct 4. Probably Approximately Correct 239.90657323990658
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  • Example: Rectangle Classifier 5. Example: Rectangle Classifier 503.90390390390394
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  • What Shall We Do? 6. What Shall We Do? 643.91057724391055
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  • Proposed Algorithm 7. Proposed Algorithm 725.4921588254922
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  • Intuition 8. Intuition 892.65932599265932
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  • Summary 9. Summary 1094.5945945945946
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  • Reading List 10. Reading List 1168.1681681681682
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