Structured Data Learning Task

A Structured Data Learning Task is a learning task where the input can be a structured data object and/or the Output is a structured data object.

• Context:
  • output: a Structured Prediction Model.
  • It can range from a Complex Output Learning Task to being a Complex Input Learning Task.
  • It can be solved by a Structured Data Learning System (that implements Structured Data Learning Algorithm).
  • It can range from being a Batch Structured Learning Task to being an Online Structured Learning Task.
  • ...
• Example(s):
  • a Supervised Structured Data Learning Task, such as:
    • a Supervised Hierarchical Classification Task.
    • a Supervised Syntactic Parsing Task.
    • a Supervised Sequence Learning Task.
    • ...
  • an Unsupervised Structured Data Learning Task, such as:
    • ...
  • …
• Counter-Example(s):
  • an Unstructured Data Learning Task.
  • an IID Learning Task such as a Tuple Learning Task.
• See: Sequence Tagging Task.

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