Class Incremental Learning for Algorithm Selection
Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion • Jul 14, 2025
Authors:,,
M Németh
Emma Hart
Kevin Sim
Abstract
Algorithm selection is commonly used to predict the best solver from a portfolio per per-instance. In many real scenarios, instances arrive in a stream: new instances become available over time, while the number of class labels can also grow as new data distributions arrive downstream. As a result, ...
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