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Machine learning for medication error detection: a scoping review protocol. [PDF]
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Azure Machine Learning (ML) Workbench
Machine Learning with Microsoft Technologies, 2019Azure ML Workbench is another tool introduced by Microsoft in 2017. Azure Machine Learning services (preview) integrate end-to-end data science with advanced analytics tools. They help professional data scientists prepare data, develop experiments, and deploy models at cloud scale [1]. First in this chapter, a brief introduction into Azure ML Workbench
Leila Etaati
semanticscholar +2 more sources
Machine learning (ML)-based lithography optimizations
2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2016Recent lithography optimizations demand higher accuracy and cause longer runtime. Optical proximity correction (OPC) and sub-resolution assist feature (SRAF) insertion, for example, take a few days due to lengthy lithography simulations and high pattern density.
Seongbo Shim +2 more
semanticscholar +2 more sources
Machine Learning (ML) Driven Agriculture
, 2021L. Ahmed, Firasath Nabi
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Machine Learning (ML) as a Diagnostic Task
, 2010This chapter discusses a revised definition of classification (diagnostic) test. This definition allows considering the problem of inferring classification tests as the task of searching for the best approximations of a given classification on a given set of data. Machine learning methods are reduced to this task.
Xenia A. Naidenova
semanticscholar +2 more sources
Machine-Learning (ML) in 4G Networks
Encyclopedia of Wireless Networks, 2020semanticscholar +2 more sources