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Dynamic Classification in Web Archiving Collections
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
System:
The UNT Digital Library