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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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