ECE 595ML Lecture 20.2: Support Vector Machine - Dual SVM

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 20.2: Support Vector Machine - Dual SVM," https://nanohub.org/resources/32751.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 20.2: Support Vector Machine - Dual SVM
  • Lecture 20.2: Support Vector Machine - Dual SVM 1. Lecture 20.2: Support Vector M… 0
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  • Outline 2. Outline 7.4741408074741411
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  • Dual of SVM 3. Dual of SVM 31.4647981314648
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  • Interpreting L( ,w0,λ) = 0 4. Interpreting L( ,w0,λ) = 0 110.71071071071071
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  • Interpreting IL( ,w0,λ) = 0 5. Interpreting IL( ,w0,λ) = 0 359.2592592592593
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  • Back to Duality 6. Back to Duality 475.17517517517518
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  • Back to Duality 7. Back to Duality 553.687020353687
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  • Back to Duality 8. Back to Duality 716.04938271604942
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  • Back to Duality 9. Back to Duality 894.59459459459458
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  • So How to Solve the SVM Problem? 10. So How to Solve the SVM Proble… 899.93326659993329
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  • Are We Done Yet? 11. Are We Done Yet? 1105.4387721054388
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  • Summary of Dual SVM Primal 12. Summary of Dual SVM Primal 1178.1114447781115
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  • Summary of Dual SVM 13. Summary of Dual SVM 1314.3810477143811
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  • Summary of Dual SVM 14. Summary of Dual SVM 1339.6730063396731
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  • Reading List 15. Reading List 1364.6312979646314
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