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学术论文

[1] Improving data quality with label noise correction. Benchong Li, Qiong Gao. Intelligent Data Analysis - An International Journal. Accepted, 2018.

[2] Fuzzy rule-based oversampling technique for imbalenced and incomplete data learning. Gencheng Liu, Youlong Yang, Benchong Li. Knowledge-Based Systems. 158, 2018, 154--174.

[3] Complexity of concept classes induced by discrete Markov networks and Bayesian networks. Benchong Li, Youlong Yang. Pattern Recognition. 82, 2018,31--37.

[4] A note on faithfulness and total positivity. Benchong Li, Yang Li. Statistics and Probability Letters. 122, 2017, 168--172.

[5] An improved fuzzy classifier for imbalanced data. Dandan Yan, Youlong Yang, Benchong Li. Journal of Intelligent and Fuzzy Systems. 32, 2017, 2315--2325.

[6] Exact test of goodness of fit for binomial distributions. Benchong Li, Liya Fu. Statistical Papers. 2016, doi:10.1007/s00362-016-0793-4, to appear.  
[7] A simplification of computing Markov bases graphical models whose underlying graphs are suspensions of graphs. Shoufeng Cai, Benchong Li, Jianhua Guo. Statistica Sinica. 24, 2014, 447--461.
[8] Decomposition of two classes of structural models. Benchong Li, Jianhua Guo. Frontiers of Mathematics in China. 8(6), 2013, 1323--1349.
[9] A computational algebraic-geometry approach for conditional independence inference. Benchong Li, Shoufeng Cai, Jianhua Guo. Frontiers of Mathematics in China. 8(3), 2013, 567--582.
[10] A note on one-factor analysis. Benchong Li, Jianhua Guo. Statistics & Probability Letters. 82(11), 2012, 1949--1952.

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