Dynamic Classification in Web Archiving Collections
Description:
Article explores dynamic fusion models to find, on the fly, the model or combination of models that performs best on a variety of document types. The experimental results show that the approach that fuses different models outperforms individual models and other ensemble methods on three datasets.
Date:
May 2020
Creator:
Phillips, Mark Edward; Patel, Krutarth & Caragea, Cornelia
Partner:
UNT Libraries