A generalized binary probabilistic independence model

S. K. M. Wong and Y. Y. Yao

Journal of the American Society for Information Science, 1990, vol. 41, issue 5, 324-329

Abstract: The main objective of this article is to develop a theoretical model for information retrieval. By utilizing more complete statistical information, a generalized binary probabilistic independence model is proposed. Earlier probabilistic independence models are shown to be special cases of the new model. A quadratic discriminant function is obtained, which can be reduced to the linear discriminant functions of the conventional probabilistic models. © 1990 John Wiley & Sons, Inc.

Date: 1990
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https://doi.org/10.1002/(SICI)1097-4571(199007)41:53.0.CO;2-9

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:41:y:1990:i:5:p:324-329

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