Introduces an information-matching approach based on the Fisher Information Matrix for optimal experimental design and active learning to select informative training data for models with sloppy parameters.
Implementation and evaluation of sdpa 6.0 (semidefinite programming algorithm 6.0)
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An information-matching approach to optimal experimental design and active learning
Introduces an information-matching approach based on the Fisher Information Matrix for optimal experimental design and active learning to select informative training data for models with sloppy parameters.