Machine Learning Research Topic
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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):
- See: Data Mining Research Activity, Data Science Conference, Data Science Concept.