Complex-Input Classification Task

A Complex-Input Classification Task is a complex classification task that requires the classifying of complex objects.

• AKA: Tagging, Labeling, Structured Data Classification.
• Context:
  • input:
    • a Data Object (with interrelated members).
    • a Finite Set.
    • a Classification Function, possibly generated by a Complex Input Supervised Classification System.
  • output: a Class Member for each Data Item in the Data Object.
  • It can be solved by a Complex-Input Classification System (that implements a Structured Input Classification Algorithm/Tagging Algorithm.
  • It can range from being a Heuristic Tagging Task to being a Data-Driven Tagging Task (such as supervised tagging).
  • It can range from being a Supervised Complex-Input Classification Task to being an Unsupervised Complex-Input Classification Task.
  • It can range from being an Object Classification Task, to being a Component Classification Task, to being a Relationship Classification Task.
  • It can be supported by a Recognition Task.
  • It can require the Detection and Classification of Structure that is only implicitly present in an Artifact.
  • It can be instantiated in a Complex-Input Classification Act.
  • …
• Example(s):
  • an Image Tagging Task.
  • a Text Tagging Task.
  • a Sequence Classification Task, such as a text classification task.
  • a Sequence Member Classification Task, such as a DNA string tagging task or a part-of-speech tagging task.
  • a Graph Classification Task.
  • a Song Tagging Task.
  • …
• Counter-Example(s):
  • a Simple-Input Classification Task.
  • a Complex-Output Classification Task, such as natural language parsing and semantic role labeling.
  • a Complex Input Regression Task
• See: Recognition Task, Non-IID Relation.

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