A general framework for predictive tensor modeling with domain knowledge

DOI10.1007/S10618-014-0392-8zbMath1405.62088OpenAlexW2124291752MaRDI QIDQ1715916

Richard D. Lawrence, Jingrui He, Yada Zhu

Publication date: 29 January 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-014-0392-8

zbMATH Keywords

tensoralgorithmsdata miningsemiconductor manufacturingvirtual metrologyclassifier design and evaluationwafer quality

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)

Uses Software

• PRMLT

Cites Work

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• Tensor Decompositions and Applications
• On the convergence of the block nonlinear Gauss-Seidel method under convex constraints

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