The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimating the mean and variance of the target probability distribution
Abstract
Introduces a method that estimates the mean and the variance of the probability distribution of the target as a function of the input, given an assumed target error-distribution model. Through the activation of an auxiliary output unit, this method provides a measure of the uncertainty of the usual network output for each input pattern. The authors derive the cost function and weight-update equations for the example of a Gaussian target error distribution, and demonstrate the feasibility of the network on a synthetic problem where the true input-dependent noise level is known.>
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Cites
A practical Bayesian framework for backpropagation networks
MacKay, D. J. C. (1992) · Neural Computation · doi:10.1162/neco.1992.4.3.448 · Cited by 2,917
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Kendall, A., & Gal, Y. (2017) · arXiv · doi:10.48550/arxiv.1703.04977 · Cited by 3,088
Ahmed, R., Sreeram, V., Mishra, Y., & Arif, M. D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109792 · Cited by 1,259
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Jiménez-Luna, J., Grisoni, F., & Schneider, G. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-00236-4 · Cited by 1,063
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Metadata
- Authors
- Nix, D. A., & Weigend, A. S.
- Venue
- Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)
- Publisher
- IEEE
- Published
- 1994
- Pages
- 55-60 vol.1
- OpenAlex
- W1560021816
- Cited by
- 700
- References
- 1
- FWCI
- 2.08
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Estimating the mean and variance of the target probability distribution. https://app.cochat.ai/papers/10.1109/icnn.1994.374138
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- Nix, D. A., & Weigend, A. S. (1994). Estimating the mean and variance of the target probability distribution. Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94). https://doi.org/10.1109/icnn.1994.374138
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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