Levi McClenny

Texas A&M University - Department of Electrical Engineering

United States

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Semi-Supervised Learning Approaches to Class Assignment in Ambiguous Microstructures

Number of pages: 26 Posted: 10 Dec 2019
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Electrical Engineering, Texas A&M University - Department of Electrical Engineering and Texas A&M University - Department of Materials Science and Engineering
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Abstract:

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Machine learning, Microstructure classification, Support vector machines, Semi-supervised learning methods, Unsupervised error estimation