[1] 程乐利, 曹林, 刘小国, 等. 圈闭地质评价技术在海拉尔盆地中部南屯组的应用[J]. 广东化工, 2013, 40(6):19-20. Cheng L L, Cao L, Liu X G, et al. Application of trap geological evaluation technology in Nantun formation in central Hailar Basin[J]. Guangdong Chemical Industry, 2013, 40(6):19-20. (in Chinese) [2] Cigdem B, Robert F. Classifying imbalanced data sets using similarity based hierarchical decomposition[J]. Pattern Recognition, 2015, 48(5):1653-1672. [3] 边肇棋, 张学工. 模式识别[M]. 2版. 北京:清华大学出版社, 2001:176-210. [4] Saeys Y, Inza I, Larranaga P. A review of feature selection techniques in bioinformatics[J]. Bioinformatics, 2007, 23(19):2507-2517. [5] Yu L, Liu H. Efficient feature selection via analysis of relevance and redundancy[J]. Journal of Machine Learning Research, 2004, 5(7):1205-1224. [6] Santana L, Canuto A M. Filter-based optimization techniques for selection of feature subsets in ensemble systems[J]. Expert Systems with Applications, 2014, 41(4):1622-1631. [7] Wei H L, Billings S A. Feature subset selection and ranking for data dimensionality reduction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 29(1):162-166. [8] Guyon I, Weston J, Barnhill S, et al. Gene selection for cancer classification using support vector machines[J]. Machine Learning, 2002, 46(1/2/3):389-422. [9] Yun Y H, Li H D, Deng B C, et al. An overview of variable selection methods in multivariate analysis of near-infrared spectra[J]. Trends in Analytical Chemistry, 2019, 113:102-115. [10] Nakariyakul S, Liu Z P, Chen L. Detecting thermophilic proteins through selecting amino acid and dipeptide composition features[J]. Amino Acids, 2012, 42(5):1947-1953. [11] Lal T N, Chapelle O, Weston J, et al. Embedded methods[M/OL]. Berlin, Heidelberg:Springer, 2006:137-165[2020-09-08]. https://link.springer.com/chapter/10.1007/978-3-540-35488-8_6. [12] Weston J, Mukherjee S, Chapelle O, et al. Feature selection for SVMs[C]//Advances in Neural Information Processing Systems, 2001:668-674. [13] Ding C, Peng H. Minimum redundancy feature selection from microarray gene expression data[J]. Journal of Bioinformatics and Computational Biology, 2005, 3(2):185-205. [14] Fleuret F. Fast binary feature selection with conditional mutual information[J]. Journal of Machine Learning Research, 2004(5):1531-1555. [15] Meyer P E, Bontempi G. On the use of variable complementarity for feature selection in cancer classification[C]//Workshops on Applications of Evolutionary Computation. Berlin, Heidelberg:Springer, 2006:91-102. [16] Brown G, Pocock A, Zhao M J, et al. Conditional likelihood maximisation:a unifying framework for information theoretic feature selection[J]. Journal of Machine Learning Research, 2012, 13(1):27-66. [17] Jakulin A, Bratko I. Analyzing attribute dependencies[C]//European Conference on Principles of Data Mining and Knowledge Discovery. Berlin, Heidelberg:Springer, 2003:229-240. [18] Zhao J, Zhou Y, Zhang X, et al. Part mutual information for quantifying direct associations in networks[J]. Proceedings of the National Academy of Sciences, 2016, 113(18):5130-5135. [19] Han J W, Kamber M. 数据挖掘概念与技术[M]. 范明, 孟小峰, 译. 北京:机械工业出版社, 2007. [20] Lin X, Li C, Ren W, et al. A new feature selection method based on symmetrical uncertainty and interaction gain[J]. Computational Biology and Chemistry, 2019, 83:107149. [21] Pascoal C, Oliveira M, Pacheco A, et al. Theoretical evaluation of feature selection methods based on mutual information[J]. Neurocomputing, 2017, 226:168-181. [22] Nie F, Hiang H, Cai X, et al. Efficient and robust feature selection via joint ℓ2, 1-norms minimization[C]//Advances in Neural Information Processing Systems, 2010:1813-1821. [23] 刘杰, 张平, 高万夫. 基于条件相关的特征选择方法[J]. 吉林大学学报(工学版), 2018, 48(3):874-881. Liu J, Zhang P, Gao W F. Feature selection method based on conditional correlation[J]. Journal of Jilin University (Engineering Edition), 2018, 48(3):874-881. (in Chinese) [24] Zeng Z, Zhang H, Zhang R, et al. A novel feature selection method considering feature interaction[J]. Pattern Recognition, 2015, 48(8):2656-2666. [25] Lustgarten J L, Gopalakrishnan V, Visweswaran S. Measuring stability of feature selection in biomedical datasets[C]//American Medical Informatics Association Annual Symposium Proceedings, 2009:406-410. [26] Li X, Han Y, Wu X, et al. Evaluating node importance in complex networks based on TOPSIS and gray correlation[C]//2018 Chinese Control and Decision Conference, 2018:750-754. |