PIS: A probabilistic inference system

Chun Chung Chan, Andrew K C Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

A method is proposed for probabilistic inference through empirical observations involving categorical data. This method can detect statistically independent patterns inherent in a set of observed events. The evidence provided by the patterns for or against some hypotheses generated during the inference process are then quantitatively estimated and combined to find the most plausible hypotheses. The proposed method has been implemented for the Probabilistic Inference System (PIS). Because it can detect patterns in observed or inferred events which may not be directly observable, the PIS can be used to aid decision-making in the presence of uncertainty. It has been tested with simulated as well as real-life data, and the results are very satisfactory.
Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Pages360-364
Number of pages5
ISBN (Print)0818608781
Publication statusPublished - 1 Dec 1988
Externally publishedYes
Event9th International Conference on Pattern Recognition - Rome, Italy
Duration: 1 Dec 1988 → …

Conference

Conference9th International Conference on Pattern Recognition
CountryItaly
CityRome
Period1/12/88 → …

ASJC Scopus subject areas

  • Engineering(all)

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