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Found 3 papers, 2 papers with code
On-the-Fly Ensemble Pruning in Evolving Data Streams
Ensemble pruning is the process of selecting a subset of componentclassifiers from an ensemble which performs at least as well as theoriginal ensemble while reducing storage and computational costs. Ensemble pruning in data streams is a largely unexplored area ofresearch.
A Hidden Challenge of Link Prediction: Which Pairs to Check?
Thus, link prediction methods, which often rely on proximity-preserving embeddings or heuristic notions of node similarity, face a vast search space, with many pairs that are in close proximity, but that should not be linked.
A Novel Online Stacked Ensemble for Multi-Label Stream Classification
As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer.
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