ECE 595ML Lecture 21.2: Support Vector Machine - Kernel Trick

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 21.2: Support Vector Machine - Kernel Trick," https://nanohub.org/resources/32753.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 21.2: Support Vector Machine - Kernel Trick
  • Lecture 21.2: Support Vector Machine - Kernel Trick 1. Lecture 21.2: Support Vector M… 0
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  • Outline 2. Outline 9.00900900900901
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  • The Kernel Trick 3. The Kernel Trick 10.543877210543878
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  • The Kernel Trick 4. The Kernel Trick 201.40140140140142
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  • Kernel 5. Kernel 285.01835168501839
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  • SVM with Second Order Kernel 6. SVM with Second Order Kernel 392.85952619285956
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  • Radial Basis Function 7. Radial Basis Function 689.72305638972307
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  • Non-Linear Transform for RBF? 8. Non-Linear Transform for RBF? 836.03603603603608
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  • So You Need 9. So You Need 924.15749082415755
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  • Is RBF Always Better than Linear? 10. Is RBF Always Better than Line… 933.73373373373374
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  • Testing with Kernels Recall: 11. Testing with Kernels Recall: 1059.592926259593
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  • Reading List 12. Reading List 1263.0630630630631
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