The DOI matches its Crossref record; 164 of the 164 references it cites were found in a registry or an index.
Bayesian Artificial Intelligence
Abstract
As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors' website.
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Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
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Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Equation of State Calculations by Fast Computing Machines
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Elements of Information Theory
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A New Approach to Linear Filtering and Prediction Problems
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Causality: Models, Reasoning, and Inference
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Food for Thought … Mechanistic Validation
Hartung, T. (2013) · ALTEX · doi:10.14573/altex.2013.2.119 · Cited by 93
Duering, M., Gonik, M., Malik, R., Zieren, N., Reyes, S., Jouvent, E., Hervé, D., Gschwendtner, A., Opherk, C., Chabriat, H., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.084 · Cited by 89
A unified probabilistic framework for measuring the intensity of spontaneous facial action units
Li, Y., Mavadati, S. M., Mahoor, M. H., & Ji, Q. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2013.6553757 · Cited by 36
Mkhitaryan, S., Giabbanelli, P. J., de Vries, N. K., & Crutzen, R. (2020) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2020.100008 · Cited by 22
Metadata
- Authors
- Korb, K. B., & Nicholson, A. E.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2003-09-25
- OpenAlex
- W1989020770
- Cited by
- 1,014
- References
- 164
- FWCI
- 13.57
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
