QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms

In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting r...

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Detalles Bibliográficos
Autores principales: Zwartjes, Ardjan, Havinga, Paul J. M., Smit, Gerard J. M., Hurink, Johann L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087417/
https://www.ncbi.nlm.nih.gov/pubmed/27706071
http://dx.doi.org/10.3390/s16101629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087417/
https://www.ncbi.nlm.nih.gov/pubmed/27706071
http://dx.doi.org/10.3390/s16101629

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