Multi-Scale Analysis Techniques for Machine Learning Models
Optimal experimental design 43 methods allow the most efficient choice of experiments to maximize the information gain using criteria such as the Kullback-Leibler divergence or the Akaike Information Criterion. The information theoretic approach is particularly powerful to treat model form errors. In biological systems, where data may be obtained by resource-intensive wet lab experiments or
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