ML Anthology

PRISM: A Language for Symbolic-Statistical Modeling

Taisuke Sato, Yoshitaka Kameya
IJCAI 1997 pp. 1330-1339
/ijcai/1997/sato1997ijcai-prism/

Abstract

We present an overview of symbolic-statistical modeling language PRISM whose programs are not only a probabilistic extension of logic programs but also able to learn from examples with the help of the EM learning algorithm. As a knowledge representation language appropriate for probabilistic reasoning, it can describe various types of symbolic-statistical modeling formalism known but unrelated so far in a single framework. We show by examples, together with learning results, that most popular probabilistic modeling formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs. 1

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Text

Sato and Kameya. "PRISM: A Language for Symbolic-Statistical Modeling." International Joint Conference on Artificial Intelligence, 1997.

Markdown

[Sato and Kameya. "PRISM: A Language for Symbolic-Statistical Modeling." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/sato1997ijcai-prism/)

BibTeX

@inproceedings{sato1997ijcai-prism,
  title     = {{PRISM: A Language for Symbolic-Statistical Modeling}},
  author    = {Sato, Taisuke and Kameya, Yoshitaka},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {1330-1339},
  url       = {https://mlanthology.org/ijcai/1997/sato1997ijcai-prism/}
}