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Ward, L., Agrawal, A., Choudhary, A. & Wolverton, C. A general-purpose machine learning framework for predicting properties of inorganic materials.
A machine learning framework is presented to assess post-earthquake structural safety.
We initiate the study of incentives in a general machine learning framework.
Moradi, E., Pepe, A., Gaser, C., Huttunen, H. & Tohka, J. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
The machine learning framework is evaluated with SemEval-2012 and SemEval-2013 data from the spatial role labeling task.
A machine learning framework is essentially adopted in which a vector quantizer is trained using data generated computationally or collected experimentally.
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Clipper sits in between frontend serving applications that query Clipper and machine learning frameworks that render predictions.
The talk proposes inductive approaches of bibliographers such as W.W. Greg and those creating machine learning frameworks are homologous.
Interposed between end-user applications and a wide range of machine learning frameworks, Clipper introduces a modular architecture to simplify model deployment across frameworks.
Undergraduate researcher will learn to design and implement a system using tools and machine learning frameworks used in the state-of-the-art research in Multimedia Computing.
Furthermore, by introducing caching, batching, and adaptive model selection techniques, Clipper reduces prediction latency and improves prediction throughput, accuracy, and robustness without modifying the underlying machine learning frameworks.
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