Model-based Classifier Learning Task

A Model-based Classifier Learning Task is a model-based learning task that can learn a classification model.

• AKA: Classifier Learning.
• Context:
  • It can be solved by a Model-based Classifier Learning System (that implements a model-based classifier learning algorithm).
  • …
• Counter-Example(s):
  • a Model-based Ranker Learning Task.
  • a Model-based Estimator Learning Task.
  • a Lazy Classification Task.
• See: Data-Driven Classification.

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