Random Decision Forests

Published

Aug 14, 1995

Random Decision Forests is an AI model developed by AT&T and Bell Laboratories (United States), first published in August 1995. It works in the other domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 60K datapoints.

The reference paper has 4,678 citations.

Full record

Organization: AT&T, Bell Laboratories
Country of organization: United States
Domain: Other
Task: Image classification
Dataset size: 60K
Citations: 4,678