Multi-Value Supervised Learning Task

A Multi-Value Supervised Learning Task is a supervised learning task that requires the prediction of two or more values.

• Context:
  • It can range from being a Multi-Class Supervised Learning Task to being a Multi-Number Supervised Learning Task.
  • It can be solved by a Multi-Value Supervised Learning Algorithm.
• Example(s):
  • a Multi-Class Text Classification Task.
  • a Multi-Class Image Tagging Task, such as labeling the classes found in a photograph.
  • …
• Counter-Example(s):
  • a Single-Value Supervised Learning Task.
• See: Correlated Dependent Variables.

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References

2012

• http://www.sfbayacm.org/sites/default/files/2012_06_25_slides.pdf

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