Using Metalearning to Predict When Parameter Optimization Is Likely to Improve Classification Accuracy

Parker Ridd, Christophe G. Giraud-Carrier. Using Metalearning to Predict When Parameter Optimization Is Likely to Improve Classification Accuracy. In Joaquin Vanschoren, Pavel Brazdil, Carlos Soares, Lars Kotthoff, editors, Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014. Volume 1201 of CEUR Workshop Proceedings, pages 18-23, CEUR-WS.org, 2014. [doi]

Abstract

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