Computer Science ›› 2017, Vol. 44 ›› Issue (10): 289-295.doi: 10.11896/j.issn.1002-137X.2017.10.052
Previous Articles Next Articles
LIN Meng-lei, LIU Jing-hua, WANG Chen-xi and LIN Yao-jin
| [1] SCHAPIRE R,SINGER Y.BoosTexter:A boosting-based system for text categorization [J].Machine Learning,2000,39(2/3):135-168. [2] ZHANG M,ZHOU Z.Multi label neural networks with applications to functional genomics and text categorization [J].IEEE Transactions on Knowledge and Data Engineering,2006,18(10):1338-1351. [3] BOUTELL M,LUO J,SHEN X,et al.Learning multi-labelscene classification [J].Pattern Recognition,2004,37(9):1757-1771. [4] ZHENG X Y,ZHANG H X.Multiple Label Approach Based on Local Correlation of Neighbors[J].Computer Science,2014,41(2):123-126.(in Chinese) 郑希源,张化祥.基于局部近邻相关性的多标记算法[J].计算机科学,2014,41(2):123-126. [5] HE Z F,YANG M,LIU H D.Joint Learning of Multi-Label Classification and Label Correlations[J].Journal of Software,2014,25(9):1967-1981.(in Chinese) 何志芬,杨明,刘会东.多标记分类和标记相关性的联合学习[J].软件学报,2014,25(9):1967-1981. [6] HOTELLING H.Relations between two sets of variates [J].Biometrika,1936,28(3/4):321-377. [7] ZHANG Y,ZHOU Z.Multi-Label dimensionality reduction via dependence maximization [J].Transactions on Knowledge Discovery from Data,2010,4(3):21-41. [8] YU K,YU S,TRESP V.Multi-label informed latent semanticindexing [C]∥Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,NY:ACM,2005:258-265. [9] LIU J H,LIN M L,WANG C X,et al.Multi-label Feature Selection Algorithm Based on Local Subspace[J].Pattern Recognition and Artificial Intelligence,2016,29(3):240-251.(in Chinese) 刘景华,林梦雷,王晨曦,等.基于局部子空间的多标记特征选择算法[J].模式识别与人工智能,2016,29(3):240-251. [10] LIN Y,HU Q,LIU J,et al.Multi-label feature selection based on max-dependency and min-redundancy [J].Neurocomputing,2015,168(c):92-103. [11] LIN Y,HU Q,LIU J.et al.Multi-Label Feature Selection Based on Neighborhood Mutual Information [J].Applied Soft Computing,2016,38(c):244-256. [12] WANG C X,LIN M L,LIU J H,et al.Multi-label feature selection via fusing feature ranking[J].Computer Engineering and Applications,2016,52(17):93-100.(in Chinese) 王晨曦,林梦雷,刘景华,等.融合特征排序的多标记特征选择算法[J].计算机工程与应用,2016,52(17):93-100. [13] ZHANG L,HU Q,DUAN J,et al.Multi-label Feature Selection with Fuzzy Rough Sets [M]∥Rough Sets and Knowledge Technology.Springer International Publishing,2014:121-128. [14] DUAN J,HU Q H,ZHANG L J,et al.Feature Selection for Multi-Label Classification Based on Neighborhood Rough Set[J].Journal of Computer Research and Development,2015,52(1):56-65.(in Chinese) 段洁,胡清华,张灵均,等.基于邻域粗糙集的多标记分类特征选择算法[J].计算机研究与发展,2015,52(1):56-65. [15] SPOLAOR N,CHERMAN E,MONARD M.Using ReliefF for multi-label feature selection[C]∥Conferencia Latinoamericana de Informática.2011:960-975. [16] SPOLAOR N,CHERMAN E,MONARD M,et al.A comparison of multi-label feature selection methods using the problem transformation approach[J].Electronic Notes in Theoretical Computer Science,2013,292:135-151. [17] SPOLAOR N,CHERMAN E,MONARD M,et al.ReliefF for multi-label feature selection[C]∥2013 Brazilian Conference on Intelligent Systems (BRACIS).IEEE,2013:6-11. [18] REYES O,MORELL C,VENTURA S.Scalable extensions ofthe ReliefF algorithm for weighting and selecting features on the multi-label learning context [J].Neurocomputing,2015,161:168-182. [19] LI J H,FU J F,JIANG W J,et al.Feature Selection Method Based on MRMR for Text Classification[J].Computer Science,2016,43(10):225-228.(in Chinese) 李军怀,付静飞,蒋文杰,等.基于MRMR的文本分类特征选择方法[J].计算机科学,2016,43(10):225-228. [20] SUN Y.Iterative RELIEF for feature weighting:algorithms,theories,and applications [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2007,29(6):1035-1051. [21] GILAD-BACHRACH R,NAVOT A,TISHBY N.Margin based feature selection-theory and algorithms [C]∥Proceedings of the Twenty-first International Conference on Machine Learning.ACM,2004:43. [22] TSOUMAKAS G,VLAHAVAS I.Random k-label sets:An ensemble method for multi-label classification [C]∥ European Conference on Machine Learning.2007:406-417. [23] ZHANG M,PEA J,ROBLES V.Feature selection for multi-label naive Bayes classification [J].Information Sciences,2009,179(19):3218-3229. [24] ZHANG M,ZHOU Z.ML-KNN:A lazy learning approach to multi-label learning [J].Pattern Recognition,2007,40(7):2038-2048 [25] FRIEDMAN M.A comparison of alternative tests of significance for the problem of m rankings [J].The Annals of Mathematical Statistics,1940,11(1):86-92. [26] DUNN O.Multiple comparisons among means [J].Journal of the American Statistical Association,1961,56(293):52-64. |
| No related articles found! |
|
||
Home