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Abstract: A predictive modular neural network method is applied to the problem of unsupervised time series segmentation. The method consists of the concurrent application of two algorithms: one for source identification, the other for time series classification. The source identification algorithm discovers the sources generating the time series, assigns data to each source and trains one predictor for each source. The classification algorithm recursively computes a credit function for each source,... (Update)
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BibTeX entry: (Update)
A. Kehagias and V. Petridis, "Time Series Segmentation using Predictive Modular Neural Networks", Neural Computation, 1997, vol.9, pp.1691-1710. http://citeseer.ist.psu.edu/kehagias97time.html More
@article{ kehagias97timeseries,
author = "Athanasios Kehagias and Vassilios Petridis",
title = "Time-Series Segmentation Using Predictive Modular Neural Networks",
journal = "Neural Computation",
volume = "9",
number = "8",
pages = "1691-1709",
year = "1997",
url = "citeseer.ist.psu.edu/kehagias97time.html" }
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