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Meaning-based machine learning
2015
Meaning-Based Machine Learning (MBML) is a research program intended to show how training machine learning (ML) algorithms on meaningful data produces more accurate results than that of using unstructured data.
Keywords:
- Active learning (machine learning)
- Natural language processing
- Online machine learning
- Semi-supervised learning
- Robot learning
- Instance-based learning
- Algorithmic learning theory
- Computational learning theory
- Machine learning
- Stability (learning theory)
- Artificial intelligence
- Computer science
- Learning classifier system
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