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Model-Based Inference and Experimental Design for Interference Using Partial Network Data.
Steven Wilkins-Reeves
Shane Lubold
Arun G. Chandrasekhar
Tyler H. McCormick
Published in:
CoRR (2024)
Keyphrases
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experimental design
active learning
empirical studies
experimental designs
sample size
bayesian networks
feature selection
machine learning
learning environment
model selection
non stationary
class imbalance
virtual learning environments