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A Parallel Strategy for Convolutional Neural Network Based on Heterogeneous Cluster for Mobile Information System
2017
Mobile Information Systems
With the development of the mobile systems, we gain a lot of benefits and convenience by leveraging mobile devices; at the same time, the information gathered by smartphones, such as location and environment, is also valuable for business to provide more intelligent services for customers. More and more machine learning methods have been used in the field of mobile information systems to study user behavior and classify usage patterns, especially convolutional neural network. With the
doi:10.1155/2017/3824765
fatcat:7m5ml5wdprga3fqyk4pk6fhlwy