@inproceedings{4060e5a5260649c38cd0047a118a17b8,
title = "Pattern recognition for ship based on bayesian networks",
abstract = "Bayesian networks (BNs) are a powerful tool for pattern recognition. A BNs has two parts: parameters and structure composed of a directed acyclic graph (DAG) with some nodes. Then, according to the target feature, an approach based on BNs for pattern recognition is presented and the step of the approach is presented: constructing its nodes, modifying the node's states and distributing the node's probability. The process using the approach for pattern recognition is showed by an experiment, and the empirical results provide evidences that the approach is reasonable and effective.",
keywords = "Bayesian networks, Conditional independence, Pattern recognition, Target feature",
author = "Qingjiang Wang and Xiaoguang Gao and Daqing Chen",
year = "2007",
doi = "10.1109/FSKD.2007.447",
language = "英语",
isbn = "0769528740",
series = "Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007",
pages = "684--688",
booktitle = "Proceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007",
note = "4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 ; Conference date: 24-08-2007 Through 27-08-2007",
}