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Abstract: This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [12]. We provide a unified framework for parameter estimation that encompasses both on-line learning, where the model is continuously adapted to new data cases as they arrive, and the more traditional batch learning, where a pre-accumulated set of samples is used in a one-time model selection process. In the batch case,... (Update)
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BibTeX entry: (Update)
E. Bauer, D. Koller, and Y. Singer. Update rules for parameter estimation in Bayesian networks. In Proceedings of the 13th Annual Conference on Uncertainty in AI, pages 3--13, 1997. http://citeseer.ist.psu.edu/bauer97update.html More
@inproceedings{ bauer97update,
author = "E. Bauer and D. Koller and Y. Singer",
title = "Update Rules for parameter estimation in {B}ayesian networks",
booktitle = "Proceedings of the 13th Annual Conference on Uncertainty in {AI} ({UAI})",
publisher = "~",
address = "~",
editor = "~",
year = "1997",
url = "citeseer.ist.psu.edu/bauer97update.html" }
Citations (may not include all citations):2528 Maximumlikelihood from incomplete data via the EM algorithm (context) - Dempster, Laird et al. - 1977
2319 Elements of Information Theory (context) - Cover, Thomas - 1991
708 Cambridge University Press (context) - Horn, Johnson - 1985
277 Information Theory and Statistics - Kullback - 1959
119 Operations for learning with graphical models - Buntine - 1994
118 How to use expert advice (context) - Cesa-Bianchi, Freund et al. - 1993
107 The EM algorithm for graphical association models with missi.. (context) - Lauritzen - 1995
95 The ALARM monitoring system: A case study with two probabili.. (context) - Beinlich, Suermondt et al. - 1989
80 Adaptive probabilistic networks with hidden variables - Binder, Koller et al. - 1997
58 Local learning in probabilistic networks with hidden variabl.. - Russell, Binder et al. - 1995
40 Inference and missing data (context) - Rubin - 1976
25 An iterative procedure for obtaining maximum-likelihood esti.. (context) - Peters, Walker - 1978
23 A comparison of new and old algorithms for a mixture estimat.. - Helmbold, Schapire et al. - 1997
21 Accelerated quantification of bayesian networks with incompl.. - Thiesson - 1995
19 line portfolio selection using multiplicative updates - Helmbold, Schapire et al. - 1996
14 aHUGIN: A system for creating adaptive causal probabilistic .. (context) - Olesen, Lauritzen et al. - 1992
12 On stochastic approximation (context) - Dvoretzky - 1956
10 Eigenvalues of covariance matrices: Application to neural- n.. (context) - Le Cun, Kanter et al. - 1991
10 The numerical evaluation of the maximum-likelihood estimates.. (context) - Peters, Walker - 1978
9 A stochastic approximation model (context) - Robbins, Monro - 1951
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