Ensemble learning using multi-objective evolutionary algorithms

DOI10.1007/s10852-005-9020-3zbMath1114.68054OpenAlexW2010941383MaRDI QIDQ864942

Arjun Chandra, Xin Yao

Publication date: 13 February 2007

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-005-9020-3

Mathematics Subject Classification ID

Computational learning theory (68Q32) Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10)

Related Items (3)

Neural network ensembles: Immune-inspired approaches to the diversity of components ⋮ Coevolutionary learning of neural network ensemble for complex classification tasks ⋮ Recent advances in evolutionary computation

Uses Software

• UCI-ml

Cites Work

• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms
• AI 2003: Advances in Artificial Intelligence
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