Fully-Supervised Learning Task

A Fully-Supervised Learning Task is a Supervised Learning Task that requires labeled training records.

• AKA: Fully-Supervised Machine Learning Task, Fully-Supervised, Fully-Supervised Learning.
• Context:
  • It can be solved by a Fully-Supervised Learning Algorithm.
  • It can range from being a Fully-Supervised Classification Task, to being a Fully-Supervised Ranking Task, to being a Fully-Supervised Estimation Task.
  • It can range from being a Model-based Fully-Supervised Learning Task/Fully-Supervised Model-based Learning Task to being a Lazy Fully-Supervised Learning Task/Fully-Supervised Lazy Learning Task.
  • …
• Example(s):
  • a Fully-Supervised Parsing Task.
  • a Fully-Supervised Information Extraction Task.
  • a Fully-Supervised Decision Tree Learning Task.
  • …
• Counter-Example(s):
  • a Semi-Supervised Learning Task (such as Self-Supervised Learning).
  • an Unsupervised Learning Task.
• See: Learning Task.

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