基于贝叶斯网络的大学生就业协助系统
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摘要
使用贝叶斯网络对大学毕业生就业的各种影响因素之间的关系建模,基于weka的相关组件实现大学生就业网络的结构学习和推理.实验证明,该系统可以对学生提供有效的就业指导服务.
The Bayesian network is used to model the relationship among various influencing factors of College graduates' employment. The structure learning and reasoning of College graduates' employment network are realized based on the relevant components of weka. Experiments show that the system can provide effective employment guidance services for students.
The Bayesian network is used to model the relationship among various influencing factors of College graduates' employment. The structure learning and reasoning of College graduates' employment network are realized based on the relevant components of weka. Experiments show that the system can provide effective employment guidance services for students.
引文
[1]黄影平.贝叶斯网络发展及其应用综述[J].北京理工大学学报,2013,33(12):1211-1219.
[2]黄友平.贝叶斯网络研究[D].北京:中国科学院计算技术研究所,2006:7-9.
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[4]Friedman N,Geiger D,Goldszmidt M.Bayesian Network Classifiers[J].Machine Learning,1997,29(2):131-163.
[5]Pearl J F.Propagation and structuring in belief networks[J].Artificial Intelligence,1986,29(3):241-288.
[6]Lauritzen S L,Spiegelhaher D J.Local computations with probabilities on graphical structures and their applications to expert systems[J].Proceedings of the Royal Statistical Society,1988,B(50):154-227.
[7]Henrion M.Propagating uncertainty in Bayesian networks by probabilistic Iogic sampling[J].Uncertainty in Artificial Intelligence,1988,5(2):149-163.
[8]Geman S,Geman D.Stochastic relaxation,Gibbs distribution and the Bayesian restoration of images[J].IEEETransactions on Pattern Analysis and Machine Intelligence,1984,6(6):721-741.
[9]戴蓥.高校毕业生就业质量评估指标体系的构建[J].当代教育理论与实践,2012,4(8):56-58.
[2]黄友平.贝叶斯网络研究[D].北京:中国科学院计算技术研究所,2006:7-9.
[3]Cooper G,Herskovits E.A Bayesian method for the induction of probabilistic networks from data[J].Machine Learning,1992,9(4):309-347.
[4]Friedman N,Geiger D,Goldszmidt M.Bayesian Network Classifiers[J].Machine Learning,1997,29(2):131-163.
[5]Pearl J F.Propagation and structuring in belief networks[J].Artificial Intelligence,1986,29(3):241-288.
[6]Lauritzen S L,Spiegelhaher D J.Local computations with probabilities on graphical structures and their applications to expert systems[J].Proceedings of the Royal Statistical Society,1988,B(50):154-227.
[7]Henrion M.Propagating uncertainty in Bayesian networks by probabilistic Iogic sampling[J].Uncertainty in Artificial Intelligence,1988,5(2):149-163.
[8]Geman S,Geman D.Stochastic relaxation,Gibbs distribution and the Bayesian restoration of images[J].IEEETransactions on Pattern Analysis and Machine Intelligence,1984,6(6):721-741.
[9]戴蓥.高校毕业生就业质量评估指标体系的构建[J].当代教育理论与实践,2012,4(8):56-58.