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An ensemble based on neural networks with random weights for online data stream regression
Most information sources in the current technological world are generating data sequentially and rapidly, in the form of data streams. The evolving...
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An online learning neural network ensembles with random weights for regression of sequential data stream
An ensemble of neural networks has been proved to be an effective machine learning framework. However, very limited studies in the current literature...
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Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples
BackgroundThe use of speech based data in the classification of Parkinson disease (PD) has been shown to provide an effect, non-invasive mode of...