A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools
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A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool for this task. BNs require constructing a structure of depend... ...
