Machine Learning Research Topic

A Machine Learning Research Topic is an AI research topic that involves machine learning tasks.

• Context:
  • It can be the focus of a ML Research Area / ML Research Task.
  • It can overlap with Statistical Inference Research Questions, and Knowledge Discovery from Databases Research Questions, ...
• Example(s):
  • Supervised Learning Research Question (for supervised algorithms), Semi-Supervised Learning Research Question (about semi-supervised algorithms), or Unsupervised Learning Research Question (for unsupervised learning).
  • Active Learning Research Question (for active learning algorithms).
  • Compositional Learning Research Question (for compositional learning algorithms).
  • Incremental Learning Research Question (for incremental learning algorithms).
  • Consensus Methods Research Question (for consensus learning algorithms)..
  • Dimensionality Reduction Research Question (for dimensionality reduction algorithms)..
  • Ensembles Research Question (for ensembles learning algorithms).
  • Inductive Logic Programming Research Question (for inductive logic programming algorithms).
  • Long-Term Memory Learning Research Question (for long-term memory learning algorithms).
  • Relational Learning Research Question (for relational learning algorithms).
  • Statistical Learning Research Question (for statistical learning algorithms).
  • Transfer Learning Research Question (for transfer learning algorithms).
  • …
• Counter-Example(s):
  • Data Science Research Question.
  • Statistical Inference Research Question.
• See: Data Mining Research Activity, Data Science Conference, Data Science Concept.

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