Science-driven automated experiments
摘要:
Systems, methods and programs are provided for automated science experiments which use a model with learnt model parameters to define points for physical-characteristic measurements once the model is trained. The systems, methods and programs use active learning which enables describing a relationship between local features of sample-surface structure shown in image patches and determined representations of physical-characteristic measurements.
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