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A Strong Machine Learning Classifier and Decision Stumps Based Hybrid AdaBoost Classification Algorithm for Cognitive Radios †
Machine learning (ML) based classification methods have been viewed as one kind of alternative solution for cooperative spectrum sensing (CSS) in recent years. In this paper, ML techniques based CSS algorithms are investigated for cognitive radio networks (CRN). Specifically, a strong machine learni...
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| Published in: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928977/ https://ncbi.nlm.nih.gov/pubmed/31757117 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19235077 |
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