参考文献/References:
[1] Wolpert D H,Macready W G.No free lunch theorems for search[J].IEEE Transactions on Evolutionary Computation,1997,1(1):67-82.
[2] Rendell L,Cho H.Empirical learning as a function of concept character[J].Machine Learning,1990,5(3):267-298.
[3] Cruz R M O,Sabourin R,Cavalcanti G D C.Meta-des.oracle:meta-learning and feature selection for dynamic ensemble selection[J].Information Fusion,2017,38:84-103.
[4] Filchenkov A,Pendryak A.Datasets meta-feature description for recommending feature selection algorithm[C]∥Artificial Intelligence and Natural Language and Information Extraction,Social Media and Web Search Fruct Conference,IEEE,2015:11-18.
[5] Sousa A F M,Prudêncio R B C,Ludermir T B,et al.Active learning and data manipulation techniques for generating training examples in meta-learning[J].Neurocomputing,2016,194:45-55.
[6] Morais R F A B D,Miranda P B C,Silva R M A.A meta-learning method to select under-sampling algorithms for imbalanced data sets[C]∥Brazilian Conference on Intelligent Systems,IEEE Computer Society,2016:385-390.
[7] 曾子林,张宏军,张睿,等.基于元学习思想的算法选择问题综述[J].控制与决策,2014,29(6):961-968.
[8] Rossi A L D,Carvalho A C P L F,Soares C,et al.Meta stream:a meta-learning based method for periodic algorithm selection in time-changing data[J].Neurocomputing,2014,127(3):52-64.
[9] Song Qinbao,Wang Guangtao,Wang Chao.Automatic recommendation of classification algorithms based on data set characteristics[J].Pattern Recognition,2012,45(7):2672-2689.
[10] Pfahringer B,Bensusan H,Garrier C G.Meta-learning by landmarking various learning algorithms[C]∥Proc of the 17th Int Conf on Machine Learning,San Francisco:Morgan Kaufmann,2000:743-750.
[11] Peng Y H,Flach P A,Soares C,et al.Improved dataset characterization for meta-learning[C]∥Proc of Discovery Science 5th Int Conf Lubeck Germany,2002:141-152.
[12] Hilario M,Kalousis A.Fusion of meta-knowledge and meta-data for case-based model selection[C]∥Lecture Notes in Computer Science,2001,2168:180-191.
[13] Kalousis A,Hilario M.Building algorithm profiles for prior model selection in knowledge discovery systems[J].International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications,2000,8(2):77-88.
[14] Brazdil P,Carrier C G,Soares C,et al.Meta learning:applications to data mining[M].Berlin:Springer Science and Business Media,2008.
[15] Spearman C.The proof and measurement of association between two things[J].The American Journal of Psychology,1904,15(1):72-101.
[16] Kendall M.Rank correlation methods[M].London:Charles Griffin and Company Limited,1948.