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	Wang, Yang     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews        BigDL: a distributed deep learning framework for big data Dai J., Wang Y., Qiu X., Ding D., Zhang Y., Wang Y., Jia X., Zhang C., Wan Y., Li Z., Wang J., Huang S., Wu Z., Wang Y., Yang Y., She B., Shi D., Lu Q., Huang K., Song G.  SoCC 2019 (Proceedings of the ACM Symposium on Cloud Computing, Santa Cruz, CA, Nov 20-23, 2019) 50-60, 2019.  Type: Proceedings The sheer complexity of storage and processing methods deployed by big data applications has resulted in a prolonged wait for a deep learning framework that effectively works with big data. This paper announces the end of this wait, ex...... Nov 5 2020     Robust multimodal cognitive load measurement Chen F., Zhou J., Wang Y., Yu K., Arshad S., Khawaji A., Conway D., Springer International Publishing, New York, NY, 2016. 254 pp.  Type: Book (978-3-319316-98-7) The content of this volume is a fair reference source for researchers and stakeholders interested in the investigation and application of the construct of cognitive load. It reviews the current state-of-the-art techniques for cognitive...... Mar 9 2017     SOPA: selecting the optimal caching policy adaptively Wang Y., Shu J., Zhang G., Xue W., Zheng W. ACM Transactions on Storage 6(2): 1-18, 2010.  Type: Article Wang et al. describe a framework for adaptively selecting input/output (I/O) caching policy when given a set of policies. The main idea is to capture a set of policies and the data required, in the form of a module, and select a policy...... Nov 4 2010
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