Gaussian Processes for Switching Regimes
نویسنده
چکیده
It has been shown that Gaussian processes are a competitive tool for nonparametric regression and classiication. Furthermore they are equivalent to neural networks in the limit of an innnite number of neurons. Here we show that the versatility of Gaussian processes at deening diierent textural characteristics can be used to recognise diierent regimes in a signal switching between diierent sources.
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تاریخ انتشار 1998