Cross-disciplinary perspectives on meta-learning for algorithm selection.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/csur/Smith-Miles08
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Cross-disciplinary perspectives on meta-learning for algorithm selection.
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Algorithm selection, classification, combinatorial optimization, constraint satisfaction, dataset characterization, empirical hardness, forecasting, landscape analysis, meta-learning, model selection, sorting
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Cross-disciplinary perspectives on meta-learning for algorithm selection.
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