6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams
Helen McKay, Nathan Griffiths, Phillip Taylor
Meta-learners and ensembles aim to combine a set of relevant yet diverse base models to improve predictive performance. However, determining an appropriate set of base models is ch…
cs.AI2020★ 6 cited
Explaining reputation assessments
Ingrid Nunes, Phillip Taylor, Lina Barakat +2
Reputation is crucial to enabling human or software agents to select among alternative providers. Although several effective reputation assessment methods exist, they typically dis…