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Implements a log-linear classification model based on relational features from Bayesian network learning

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relational-classification

Implements a log-linear classification model based on relational features from Bayesian network learning. Under Construction.

Input:

  1. A relational database
  2. A target instance (e.g. genre(BraveHeart) in IMDB)
  3. A learned Bayesian network (using FactorBase).

Output: A probability distribution over values of the target instance.

Implements our relational dependency network formula from the paper Fast Learning of Relational Dependency Networks. See also the tutorial.

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Implements a log-linear classification model based on relational features from Bayesian network learning

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