Discriminative Linear Classifier Learning with a Convex Loss Function Algorithm

A Discriminative Linear Classifier Learning with a Convex Loss Function Algorithm is an Discriminative Linear Classifier Learning Algorithm with a Convex Loss Function.

• • …
• Example(s):
  • Linear SVMs.
  • Logistic Regression.
• See: Discriminative Linear Classifier Learning with a Convex Loss Function.

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References

2014

• http://scikit-learn.org/0.11/modules/sgd.html
  • Stochastic Gradient Descent (SGD) is a simple yet very efficient approach to discriminative learning of linear classifiers under convex loss functions such as (linear) Support Vector Machines and Logistic Regression.

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