An overview of learning mechanisms for cognitive systems
Bantouna, A, , Stavroulaki, V, Kritikou, Y, Tsagkaris, K, Demestichas, P and Moessner, K (2012) An overview of learning mechanisms for cognitive systems EURASIP Journal on Wireless Communications and Networking 2012, 2012 (22).
1687-1499-2012-22.pdf - Version of Record
Available under License : See the attached licence file.
Cognitive systems were first introduced by Mitola and in the last decade they have proved to be beneficial in self-management functionalities of future generation networks. The advantages and the way that networks gain benefits from cognitive systems is analysed in this article. Moreover, since such systems are closely related to machine learning, the focus of this article is also placed on machine learning techniques applied both in the network and the user devices side. In particular, celebrating 10 years of cognitive systems, this survey-oriented article presents an extended state-of-the-art of machine learning applied to cognitive systems as coming from the recent research and an overview of three different learning capabilities of both the network and the user device.
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research|
|Date :||1 May 2012|
|Identification Number :||https://doi.org/10.1186/1687-1499-2012-22|
|Additional Information :||© 2012 Bantouna et al; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||24 Jun 2012 01:03|
|Last Modified :||23 Sep 2013 19:28|
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