苏金树,张博锋,徐昕.基于机器学习的文本分类技术研究进展[J].软件学报,2006,17(9):1848-1859.SU Jin-shu,ZHANG Bo-feng,XU Xin.Advances in machine learning based text categorization[J].Journal of Software,2006,17(9):1848-1859.(in Chinese)
[2]
李文斌,刘椿年,陈嶷瑛.基于混合高斯模型的电子邮件多过滤器融合方法[J].电子学报,2006,34(2):247-251.LI Wen-bin,LI U Chun-nian,CHEN Yi-ying.Combining multiple email filters of naive bayes based on GMM[J].ActaElectronica Sinica,2006,34(2):247-251.(in Chinese)
[3]
刁力力,胡可云,陆玉昌,等.用Boosting方法组合增强Stumps进行文本分类[J].软件学报,2002,13(8):1361-1367.DIAO Li-li,HU Ke-yun,LU Yu-chang,et al.Improved stumps combined by boosting for text categorization[J].Journal ofSoftware,2002,13(8):1361-1367.(in Chinese)
[4]
鲁湛,丁晓青.基于分类器判决可靠度估计的最优线性集成方法[J].计算机学报,2002,25(8):890-895.LU Zhan,DI NG Xiao-qing.An optimal linear combination method by evaluating the reliability of individual classifiers[J].Chinese Journal of Computers,2002,25(8):890-895.(in Chinese)
[5]
李凯,黄厚宽.小规模数据集的神经网络集成算法研究[J].计算机研究与发展,2006,43(7):1161-1166.LI Kai,HUANG Hou-kuan.Study of a neural network ensemble algorithm for small data sets[J].Journal of ComputerResearch and Development,2006,43(7):1161-1166.(in Chinese)
[6]
周志华,陈世福.神经网络集成[J].计算机学报,2002,25(1):1-8.ZHOU Zhi-hua,CHEN Shi-fu.Neural network ensemble[J].Chinese Journal of Computers,2002,25(1):1-8.(inChinese)
[7]
唐伟,周志华.基于Bagging的选择性聚类集成[J].软件学报,2005,16(4):496-502.TANG Wei,ZHOUZhi-hua.Bagging-based selective cluster ensemble[J].Journal of Software,2005,16(4):496-502.(inChinese)
姜远,周志华.基于词频分类器集成的文本分类方法[J].计算机研究与发展,2006,43(10):1681-1687.JIANG Yuan,ZHOU Zhi-hua.A text classification method based on term frequency classifier ensemble[J].Journal ofComputer Research and Development,2006,43(10):1681-1687.(in Chinese)
[14]
DIETTERICHTG.Machine learning research:four current directions[J].AI Magazine,1997,18(4):97-136.
[15]
ZHOU Zhi-hua,TANG Wei.Selective ensemble of decision trees[C]∥Lecture Notes in Artificial Intelligence.Berlin:Springer,2003,26391:476-483.
[16]
ZHONG N,MATSUNAGA T,LI U C N.A text mining agents based architecture for personal e-mail filtering andmanagement[C]∥Lecture Notes in Computer Science.Berlin:Springer,2002:329-336.
[17]
樊兴华,孙茂松.一种高性能的两类中文文本分类方法[J].计算机学报,2006,29(1):124-131.FAN Xing-hua,SUN Mao-song.A high performance two-class Chinese text categorization method[J].Chinese Journal ofComputers,2006,29(1):124-131.(in Chinese)
[18]
FREUND Y.Boosting a weak algorithm by majority[J].Information and Computation,1995,121(2):256-285.
[19]
OPITZ D,MACLI N R.Popular ensemble methods:an empirical study[J].Journal of Artificial Intelligence Research,1999,11:169-198.
YANG Y,PEDERSEN J O.A comparative study on feature selection in text categorization[C]∥Proc of the 14thInternational Conference on Machine Learning.[S.l.]:Morgan Kaufmann,1997:412-420.