Approach to the correlation discovery of Chinese linguistic parameters based on Bayesian method

Authors:
Wei Wang;LianHong Cai
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P.R. China;Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P.R. China
Venue:
Journal of Computer Science and Technology
Year:
2003

Citing 2
Cited 0

A Bayesian Method for the Induction of Probabilistic Networks from Data

Machine Learning
Bayesian Networks for Data Mining

Data Mining and Knowledge Discovery

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bayesian approach is an important method in statistics. The Bayesian belief network is a powerful knowledge representation and reasoning tool under the conditions of uncertainty. It is a graphics model that encodes probabilistic relationships among variables of interest. In this paper, an approach to Bayesian network construction is given for discovering the Chinese linguistic parameter relationship in the corpus.