L2-Norm Regularized Optimization Task

An L2-Norm Regularized Optimization Task is a function optimization task that includes a … optimizes an L2-norm.

• AKA: ℓ2 Regularization.
• Context:
  • It can solve the following Unconstrained Optimization Task [math]\displaystyle{ \min (\mathbf{w})^{1/2} \mathbf{w} \mathbf{w}^T + C \sum_{i=1}^l \log (1 + e^{(-y_i \mathbf{w}^T \mathbf{x}_i)}) }[/math], where, [math]\displaystyle{ \mathbf{x} }[/math] is a labeled training record, and [math]\displaystyle{ l }[/math] is the training set size.
  • …
• Counter-Example(s):
  • L1 Norm Regularization.
  • L0 Norm Regularization.
• See: L2 Regularized Logistic Regression, L2-Norm Regularizer, Regularization.

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