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on 22-Sep-2025 (Mon)

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Flashcard 7758280002828

Tags
#causality #statistics
Question
In contrast, the non-strict causal edges assumption would allow for some parents to not be causes of their children. It would just assume that children are not causes of their parents. This allows us to draw graphs with extra edges to make fewer assumptions, just like we would in Bayesian networks, where more edges means fewer [...] assumptions.
Answer
independence

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me that children are not causes of their parents. This allows us to draw graphs with extra edges to make fewer assumptions, just like we would in Bayesian networks, where more edges means fewer <span>independence assumptions. <span>

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Flashcard 7758281313548

Tags
#abm #agent-based #machine-learning #model #priority #synergistic-integration
Question
Semisupervised learning - an approach that combines a [...] of labeled data with a large amount of unlabeled data during training
Answer
small amount

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repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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Semisupervised learning - an approach that combines a small amount of labeled data with a large amount of unlabeled data during training

Original toplevel document (pdf)

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