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SVM vs. Neural Network
- SVM
- Deterministic algorithm
- Nice generalization properties
- Hard to learn – learned in batch mode using quadratic programming techniques
- Using kernels can learn very complex functions
- Neural Network
- Nondeterministic algorithm
- Generalizes well but doesn’t have strong mathematical foundation
- Can easily be learned in incremental fashion
- To learn complex functions—use multilayer perceptron (nontrivial)
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