Computer Science ›› 2013, Vol. 40 ›› Issue (Z11): 255-258.
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YUAN Li,CHEN Yang and ZHAO Yong
[1] 左晶.IPC和USC分类体系下专利检索的对比分析[J].现代情报,2007,1:130-132 [2] Meyer D.Support Vector Machines[J].The Interface to libsvm in package e1071.e1071Vignette,2012 [3] Chou K C,Shen H B.Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers[J].Journal of Proteome Research,2006,5(8):1888-1897 [4] 卢长林.手扶电动整枝机[D].1992 [5] Elisseeff A,Weston J.A kernel method for multi-labelled classification[C]∥Advances in neural information processing systems.2001:681-687 [6] Godbole S,Sarawagi S.Discriminative methods for multi-labeled classification[M]∥Advances in Knowledge Discovery and Data Mining.Berlin Heidelberg:Springer,2004:22-30 [7] Crammer K,Singer Y.A family of additive online algorithms for category ranking[J].The Journal of Machine Learning Research,2003,3:1025-1058 [8] Zhang M L,Zhou Z H.Multilabel neural networks with applications to functional genomics and text categorization[J].IEEE Transactions on Knowledge and Data Engineering,2006,18(10):1338-1351 [9] Zhang M L,Zhou Z H.A k-nearest neighbor based algorithm for multi-label classification[C]∥Granular Computing,2005IEEE International Conference on.IEEE,2005,2:718-721 [10] Tsoumakas G,Dimou A,Spyromitros E,et al.Correlation-based pruning of stacked binary relevance models for multi-label lear-ning[C]∥Proceeding of ECML/PKDD 2009Workshop on Learning from Multi-Label Data.Bled,Slovenia,2009:101-116 [11] Tsoumakas G,Katakis I,Vlahavas I.Mining multi-label data[M].Data mining and knowledge discovery handbook.US:Springer,2010:667-685 [12] Read J.A pruned problem transformation method for multi-label classification[C]∥Proc.2008New Zealand Computer Science Research Student Conference (NZCSRS 2008).2008:143-150 [13] Zhang M L,Zhou Z H.A k-nearest neighbor based algorithm for multi-label classification[C]∥Granular Computing,2005IEEE International Conference on.IEEE,2005,2:718-721 [14] Gao S,Wu W,Lee C H,et al.A MFoM learning approach to robust multiclass multi-label text categorization[C]∥Proceedings of the twenty-first international conference on Machine lear-ning.ACM,2004:42 [15] Williams T,Domb E.Reversability of the 40Principles of Problem Solving[J].The TRIZ Journal,May 1998 [16] Cong H,Tong L H.Grouping of TRIZ Inventive Principles tofacilitate automatic patent classification[J].Expert Systems with Applications,2008,34(1):788-795 [17] Pro_Techniques.http://www.iwint.com.cn/ [18] CREAX http://www.creax.com [19] 费洪晓,康松林,朱小娟,等.基于词频统计的中文分词的研究[J].计算机工程与应用,2005,41(7):67-68 [20] 王素格,魏英杰.停用词表对中文文本情感分类的影响[J].情报学报,2008,27(2):175-179 [21] Erk K,Padó S.A structured vector space model for word meaning in context[C]∥Proceedings of the Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics,2008:897-906 [22] 任永功,杨荣杰,尹明飞,等.基于信息增益的文本特征选择方法[J].计算机科学,2012,39(11):127-130 [23] Tsoumakas G,Vlahavas I.Random k-labelsets:An ensemblemethod for multilabel classification[C]∥Machine Learning:ECML 2007.Berlin Heidelberg:Springer,2007:406-417 [24] Yang Y,Liu X.A re-examination of text categorization methods[C]∥Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrie-val.ACM,1999:42-49 [25] Tsoumakas G,Xioufis E S,Vilcek J,et al.MULAN:A Java Library for Multi-Label Learning[J].Journal of Machine Learning Research,2011,12(7):2411-2414 [26] Hall M,Frank E,Holmes G,et al.The WEKA data mining soft-ware:an update[J].ACM SIGKDD Explorations Newsletter,2009,11(1):10-18 |
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