Interactive and Incremental Learning via a Mixture of Supervised and Unsupervised Learning Strategies
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Summary
A novel algorithm is proposed that can overcome some of existing problems through a mixture of these two paradigms of machine learning, and is tested with a robot language-learning task.
- Type
- article
- Published
- 2000-12-01
- Cited by
- 17
- References
- 7
- OpenAlex
- https://openalex.org/W122382148
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17294387
Keywords
Computer science, Artificial intelligence, Unsupervised learning, Machine learning, Semi-supervised learning
References
Cited by
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- Vision and Learning for Intelligent Human-Computer Interaction
- Data mining of temporal sequences for the prediction of infrequent failure events : application on floating train data for predictive maintenance
- A Word Sense Disambiguation Model for Amharic Words using Semi-Supervised Learning Paradigm
- Using Images As a Foundation for Natural Language Processing
- Spoken language acquisition via human-robot interaction
- A Rough Set Approach to Face Recognition
- Simplified photogrammetry using optical camera communication for indoor positioning
- A Novel Indoor Mobile Localization System Based on Optical Camera Communication
- Localization using Optical Camera Communication and Photogrammetry for Wireless Networking Applications
- A Reinforcement Learning-Based Framework to Generate Routing Solutions and Correct Violations in VLSI Physical Design
- A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations
- Employing a dimensional framework and machine learning to empower research on dyslexia and dyscalculia
- Dispositif robotique, procede de commande de l'action du dispositif robotique, dispositif de detection de force exterieure, et procede de detection de force exterieure
- Reconnaissance des formes dans un environnement dynamique appliqu ee au diagnostic et au suivi des
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