AI models
Error Propagation
Published
Jan 3, 1986
Error Propagation is an AI model developed by University of California San Diego and Carnegie Mellon University (CMU) (United States), first published in January 1986. It works in the other domain, on tasks such as text classification and image classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 64 datapoints.
The reference paper has 27,322 citations.
Full record
- Organization
- University of California San Diego, Carnegie Mellon University (CMU)
- Country of organization
- United States
- Domain
- Other
- Task
- Text classification, Image classification
- Dataset size
- 64
- Citations
- 27,322
More from University of California San Diego,Carnegie Mellon University (CMU)
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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