Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities-Reference-Cited by-同舟云学术

Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities

Published: Issue: Volume: Page:257-271
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
Short-container-title:

Author:

Corani Giorgio,Zaffalon Marco

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-87479-9_35.pdf

Reference9 articles.

1. Hoeting, J., Madigan, D., Raftery, A., Volinsky, C.: Bayesian Model Averaging: a Tutorial. Statistical Science 14(4), 382–417 (1999)

2. Clyde, M., George, E.I.: Model Uncertainty. Statistical Science 19, 81–94 (2004)

3. Boullé, M.: Compression-Based Averaging of Selective Naive Bayes Classifiers. Journal of Machine Learning Research 8, 1659–1685 (2007)

4. Dash, D., Cooper, G.: Exact Model Averaging with Naive Bayesian Classifiers. In: Proceedings of the Nineteenth International Conference on Machine Learning, pp. 91–98 (2002)

5. Walley, P.: Statistical Reasoning with Imprecise Probabilities. Chapman and Hall, New York (1991)

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Thirty years of credal networks: Specification, algorithms and complexity;International Journal of Approximate Reasoning;2020-11

2. Bayesian Robustness;Wiley StatsRef: Statistics Reference Online;2019-11-15

3. Bayesian Model Averaging;Model Averaging;2018

4. The Costs of Indeterminacy: How to Determine Them?;IEEE Transactions on Cybernetics;2017-12

5. Cautious classification with nested dichotomies and imprecise probabilities;Soft Computing;2016-07-30