Distributed kernel learning using Kernel Recursive Least Squares

Constructing accurate models that represent the underlying structure of Big Data is a costly process that usually constitutes a compromise between computation time and model accuracy. Methods addressing these issues often employ parallelisation to handle processing. Many of these methods target the...

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Veröffentlicht in:	2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) S. 5500 - 5504
Hauptverfasser:	Fraser, Nicholas J., Moss, Duncan J. M., Epain, Nicolas, Leong, Philip H. W.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2015
Schlagworte:	Accuracy Computational modeling Data Mining Data models Dictionaries Kernel Kernel Recursive Least Squares Kernel Regression Support Vector Machine Support vector machines Training
ISSN:	1520-6149
Online-Zugang:	Volltext
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