Boosting

Parameters

2.6K

Published

Nov 30, 1992

Boosting is an AI model developed by Bell Laboratories (United States), first published in November 1992. It works in the vision domain, on tasks such as digit recognition.

Epoch AI has no training-compute estimate for this model. The model has 2,578 parameters. It was trained on roughly 29.1K datapoints.

Epoch AI rates the confidence of this record as likely.

Full record

Organization: Bell Laboratories
Country of organization: United States
Domain: Vision
Task: Digit recognition
Parameters: 2,578
Dataset size: 29.1K
Epoch confidence: Likely