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Abstract: Real-world learning tasks may involve high-dimensional data sets with arbitrary patterns of missing data. In this paper we present a framework based on maximum likelihood density estimation for learning from such data sets. We use mixture models for the density estimates and make two distinct appeals to the ExpectationMaximization (EM) principle (Dempster et al., 1977) in deriving a learning algorithm---EM is used both for the estimation of mixture components and for coping with missing data.... (Update)
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BibTeX entry: (Update)
Ghahramani, Z., & Jordan, M. I. (1994). Supervised learning from incomplete data via an EM approach. In Advances in Neural Information Processing Systems 6, pp. http://citeseer.ist.psu.edu/ghahramani94supervised.html More
@inproceedings{ ghahramani94supervised,
author = "Zoubin Ghahramani and Michael I. Jordan",
title = "Supervised learning from incomplete data via an {EM} approach",
booktitle = "Advances in Neural Information Processing Systems",
volume = "6",
publisher = "Morgan Kaufmann Publishers, Inc.",
editor = "Jack D. Cowan and Gerald Tesauro and Joshua Alspector",
pages = "120--127",
year = "1994",
url = "citeseer.ist.psu.edu/ghahramani94supervised.html" }
Citations (may not include all citations):2528 Maximum likelihood from incomplete data via the EM algorithm (context) - Dempster, Laird et al. - 1977
2133 Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
1262 Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
472 Hierarchical mixtures of experts and the EM algorithm - Jordan, Jacobs - 1994 ACM
203 Statistical Analysis with Missing Data (context) - Little, Rubin - 1987 ACM
58 A general regression neural network (context) - Specht - 1991
48 Soft Competitive Adaptation: Neural Network Learning Algorit.. (context) - Nowlan - 1991
45 Network structuring and training using rule-based knowledge - Tresp, Hollatz et al. - 1993 ACM DBLP
1 Mixture models: Inference and applications to clustering (context) - New, McLachlan et al. - 1988
1 Adaptive mixture of local experts (context) - Hillsdale, Jacobs et al. - 1991
1 Multivariate adaptive regression splines (context) - New, Friedman - 1991
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