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Data-Driven Approach to Using Uniform Experimental Design to Optimize System Compensation Parameters for an Auto-Alignment Machine.

Jinn-Tsong TsaiPo-Yuan YangJyh-Horng Chou
Published in: IEEE Access (2018)
Keyphrases
  • semi supervised learning
  • experimental design
  • active learning
  • supervised learning
  • experimental designs
  • training data
  • empirical studies
  • sample size
  • feature selection