Dictionary adaptation for online prediction of time series data with kernels

During the last few years, kernel methods have been very useful to solve nonlinear identification problems. The main drawback of these methods resides in the fact that the number of elements of the kernel development, i.e., the size of the dictionary, increases with the number of input data, making...

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Bibliographische Detailangaben

Hauptverfasser:	Saide, C., Lengelle, R., Honeine, P., Richard, C., Achkar, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation error Coherence Computer Science Computer Vision and Pattern Recognition Dictionaries Engineering Sciences Kernel kernel methods Machine Learning Nonlinear adaptive filters nonlinear systems Projection algorithms Signal and Image Processing Time series analysis Vectors
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