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Showing 1 to 1 of 1 for “"Autoencoder, cancer prediction models"”.
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Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data
Neural network models have been widely tested and analysed usinglarge sized high dimensional datasets. In real world application prob-lems, the available datasets are often limited in size due to reasonsrelated to the cost or difficulties encountered while collecting the data.This limitation in the …