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Support Vector Machine (Non-Linear
SVM (Kernel
Function (Map the data…
Support Vector Machine
Introduction
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Can be applied to complex data types
beyond feature vectors
- Graphs
- Sequences
- Relational Data
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Non-Linear
SVM
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Kernel
Function
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Feature Space
- Can be mapped to some
higher-dimensional feature space
- Eg: 2D to 3D
Very high-dimension feature spaces,
finding max margin separator becomes
computationally intractable
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