IEEE access special section editorial: Machine learning designs, implementations and techniques
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Most modern machine learning research is devoted to improving the accuracy of prediction. However, less attention is paid to the deployment of the machine and deep learning systems, supervised/unsupervised techniques for mining healthcare data, and time series similarity and irregular temporal data analysis [item 1)–9) in the Appendix]. Most deployments are in the cloud, with abundant and scalable resources, and a free choice of computation platform. However, with the advent of intelligent physical devices—such as intelligent robots or self-driven cars—resources are more limited, and the latency may be strictly bounded [item 1)–9) in the Appendix].