·90· 智能系统学报 第3卷 [10]ZHANG ML,ZHOU Z H.ML-KNN:a lazy learning GON G Xiujun,SHI Zhongzhi.Semi-supervised web approach to multi-label learning [J ]Pattern Recogni- mining based on bayes latent semantic model [J ]Jour- tion,2007,40(7):2038-2048. nal of Software,2002,12(8):15081514. [11]TSOUMA KAS G,KA TA KIS I.Multi-label classifica- [20]彭雅，林亚平，陈治平.TFDF_NB协同训练算法 tion:an overview [J].International Journal of Data [0].小型微型计算机，2004,25(12)：2243-2246. Warehousing and Mining,2007,3(3):1-13. PEN G Ya,L IN Yaping,CHEN Zhiping.TFIDF-NB [12]CLARE A,KING R D.Knowledge discovery in multi- co-operative training algorithm [J ]Mini-micro Sys label phenotype data[C]//Proceedings of the 5th Euro- tems,2004,25(12):22432246. pean Conference on Principles of Data Mining and [21]KLAUS B,JOHANNS F,EYKE H.A unified model Knowledge Discovery (PKDD 2001).Freiberg,Germa- for multilabel classification and ranking C]//Proceed- ny:Springer,2001. ing of the 15th Eureopean Conference on Artificial Intel- [13 ]LUO X,ZINCIR H.Evaluation of two systems on ligence.Riva del Garda,Italy:IOS Press,2006. multi-class multi-label document classification [C]// [22]PAVL IDIS P,WESTON J,CAIJ,et al.Combining Lecture Notes in Computer Science.Freiberg,Germa- microarray expression data and phylogenetic protellles ny:Springer,2005. to learn functional categories using support vector ma- [14]GODBOL E S,SARAWA GI S.Discriminative methods chines [R].CUCS-011-000,Department of Computer for multi-labeled classification [Cl//Lecture Notes in Science,Columbia University,Columbia,2000. Computer Science.Germany:Springer,2004. [23]DIPLARIS S,TSOUMA KAS G,MITKAS P,et al. [15]ZHOU Z H,ZHANG M L.Multi-instance multi-label Protein classification with multiple algorithms [C1// learning with application to scene classification [C]// Lecture Notes in Computer Science.Volos,Greece: Advances in Neural Information Processing Systems Springer,2005. Cambridge:MIT Press,2007. 作者简介： [16]ZHANG ML,ZHOU Z H.Multilabel neural networks 陈晓峰，男，1977年生，博士研究生，主要 with applications to functional genomics and text catego- 研究方向为机器学习、模式识别 rization[J ]IEEE Transactions on Knowledge and Data Engineering,2006,18(10):1338-1351. [17]施彤年，卢忠良，荣融，等.多类多标签汉语文本自动 分类的研究[U」.情报学报，2003,22(3)：306309. SHI Tongnian,LU Zhongliang,RONG Rong,et al. 王士同，男，1964年生，教授，博士生导 Research on the Chinese text categorization of multi- 师，主要研究方向为模糊人工智能、模式识 classification and multi-label [J].Journal of the China 别、图像处理和生物信息学等，先后十多次留 Society for Scientific and Technical Information,2003, 学英国、日本和香港地区，在国内外重要杂志 22(3):306309. 上发表学术论文数十篇」 [18 ]LIU Y,JIN R,LIU Y.Semi-supervised multi-label learning by constrained nom negative matrix factoriza- tion [C]//Proceeding of the Twenty-First National 曹苏群，男，1976年生，博士研究生，主要 Conference on Artificial Intelligence,Eighteenth Con- 研究方向为模式识别，图像处理、软件工程 ference on Innovative Applications of Artificial Intelli- 等 gence.Boston:AAAI Press,2006. [l9]宫秀军，史忠植.基于Bayes潜在语义模型的半监督 Web挖掘J1.软件学报，2002,12(8)：1508-1514. @1994-2008 China Academic Journal Electronic Publishing House.All rights reserved.http://www.cnki.net[10 ]ZHAN G M L , ZHOU Z H. ML2KNN : a lazy learning approach to multi2label learning [J ]. Pattern Recogni2 tion , 2007 , 40 (7) : 203822048. [11 ] TSOUMA KAS G, KA TA KIS I. Multi2label classifica2 tion : an overview [J ]. International Journal of Data Warehousing and Mining , 2007 , 3 (3) :1213. [12 ]CLARE A , KIN G R D. Knowledge discovery in multi2 label phenotype data[C]/ / Proceedings of the 5th Euro2 pean Conference on Principles of Data Mining and Knowledge Discovery ( PKDD 2001) . Freiberg , Germa2 ny : Springer , 2001. [ 13 ] LUO X , ZINCIR H. Evaluation of two systems on multi2class multi2label document classification [ C ]/ / Lecture Notes in Computer Science. Freiberg , Germa2 ny : Springer ,2005. [14 ] GODBOL E S , SARAWA GI S. Discriminative methods for multi2labeled classification [ C ]/ / Lecture Notes in Computer Science. Germany : Springer ,2004. [15 ]ZHOU Z H , ZHAN G M L. Multi2instance multi2label learning with application to scene classification [ C ]/ / Advances in Neural Information Processing Systems. Cambridge : MIT Press ,2007. [ 16 ]ZHAN G M L , ZHOU Z H. Multilabel neural networks with applications to functional genomics and text catego2 rization[J ]. IEEE Transactions on Knowledge and Data Engineering , 2006 , 18 (10) : 133821351. [17 ]施彤年 , 卢忠良 , 荣 融 ,等. 多类多标签汉语文本自动 分类的研究[J ]. 情报学报 , 2003 , 22 (3) : 3062309. SHI Tongnian , LU Zhongliang , RON G Rong , et al. Research on the Chinese text categorization of multi2 classification and multi2label [J ]. Journal of the China Society for Scientific and Technical Information , 2003 , 22 (3) : 3062309. [ 18 ] L IU Y , J IN R , L IU Y. Semi2supervised multi2label learning by constrained non2negative matrix factoriza2 tion [ C ]/ / Proceeding of the Twenty2First National Conference on Artificial Intelligence , Eighteenth Con2 ference on Innovative Applications of Artificial Intelli2 gence. Boston : AAAI Press , 2006. [19 ]宫秀军 , 史忠植. 基于 Bayes 潜在语义模型的半监督 Web 挖掘[J ]. 软件学报 , 2002 , 12 (8) :150821514. GON G Xiujun , SHI Zhongzhi. Semi2supervised web mining based on bayes latent semantic model[J ]. Jour2 nal of Software , 2002 , 12 (8) : 150821514. [20 ]彭 雅 , 林亚平 , 陈治平. TFIDF_NB 协同训练算法 [J ]. 小型微型计算机 , 2004 , 25 (12) : 224322246. PEN G Ya , L IN Yaping , CHEN Zhiping. TFIDF2NB co2operative training algorithm [J ]. Mini2micro Sys2 tems , 2004 , 25 (12) : 224322246. [21 ] KLAUS B , JO HANNS F , EYKE H. A unified model for multilabel classification and ranking [ C]/ / Proceed2 ing of the 15th Eureopean Conference on Artificial Intel2 ligence. Riva del Garda , Italy : IOS Press , 2006. [22 ] PAVL IDIS P , WESTON J , CAI J , et al. Combining microarray expression data and phylogenetic protellles to learn functional categories using support vector ma2 chines [ R ]. CUCS20112000 , Department of Computer Science , Columbia University , Columbia , 2000. [23 ]DIPLARIS S , TSOUMA KAS G, MIT KAS P , et al. Protein classification with multiple algorithms [ C ]/ / Lecture Notes in Computer Science. Volos , Greece : Springer , 2005. 作者简介 : 陈晓峰 ,男 ,1977 年生 ,博士研究生 ,主要 研究方向为机器学习、模式识别. 王士同 ,男 , 1964 年生 ,教授 ,博士生导 师 ,主要研究方向为模糊人工智能、模式识 别、图像处理和生物信息学等 ,先后十多次留 学英国、日本和香港地区 ,在国内外重要杂志 上发表学术论文数十篇. 曹苏群 ,男 ,1976 年生 ,博士研究生 ,主要 研究方向为模式识别 ,图像处理、软件工程 等. · 09 · 智 能 系 统 学 报 第 3 卷