Probabilistic Relational Models

@inproceedings{Koller1999ProbabilisticRM,
  title={Probabilistic Relational Models},
  author={D. Koller},
  booktitle={ILP},
  year={1999}
}
  • D. Koller
  • Published in ILP 1999
  • Computer Science
Probabilistic models provide a sound and coherent foundation for dealing with the noise and uncertainty encountered in most real-world domains. Bayesian networks are a language for representing complex probabilistic models in a compact and natural way. A Bayesian network can be used to reason about any attribute in the domain, given any set of observations. It can thus be used for a variety tasks, including prediction, explanation, and decision making. The probabilistic semantics also gives a… Expand
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