Theoretical and empirical analysis of diversity in non-stationary learning

Abstract

In non-stationary learning, we require a predictive model to learn over time, adapting to changes in the concept if necessary. A major concern in any algorithm for non-stationary learning is its rate of adaptation to new concepts. When tackling such problems with ensembles, the concept of diversity appears to be of significance. In this paper, we discuss… (More)
DOI: 10.1109/CIDUE.2011.5948488

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