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Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo.
Shijie Zhong
Wanggang Shen
Tommie A. Catanach
Xun Huan
Published in:
CoRR (2024)
Keyphrases
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goal oriented
experimental design
nonlinear models
active learning
empirical studies
optimal control
linear models
feature selection
optimal solution
sample size
dynamic programming
class imbalance
reinforcement learning