Machine Learning Techniques 筆記：2-4 Soft-Margin Support Vector Machine
有效率：像linear的方向走。 想要彎彎曲曲的複雜邊界：網Gaussian kernel方向走。 Kernel：把轉換與算內積兩個步驟合起來，可以用dual SVM解決很多維度，可以實現無限多維轉換。 SVM也可能會overfit，一部分可能來源於很強的轉換，另一部分也可能來自你堅持一定堅持要完美的分開。 Pocket：找不到完美的線分來，我們找一個錯誤最少的線。 放棄對零差錯的追求 Hard-
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相關文章
- 1. Machine Learning Techniques 筆記：2-6 Support Vector Regression
- 2. Machine Learning Techniques -2-Dual Support Vector Machine
- 3. Machine Learning Techniques 筆記：2-2 Dual Support Vector Machine
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