::论著::
  年份 : [2007] {2006 | 2005 | 2004 | 2003 }

2007
  • Z.-H. Zhou, H. Li, and Q. Yang, eds. Advances in Knowledge Discovery and Data Mining (Lecture Notes in Artificial Intelligence 4426) - Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'07), Berlin: Springer, 2007. ISBN: 978-3-540-71700-3.

  • T. Washio, Z.-H. Zhou, J. Z. Huang, X. Hu, J. Li, C. Xie, J. He, D. Zou, K.-C. Li, M. M. Freire, eds. Emerging Technologies in Knowledge Discovery and Data Mining (Lecture Notes in Artificial Intelligence 4819) - Revised Selected Papers of PAKDD'07 International Workshops, Berlin: Springer, 2007. ISBN: 978-3-540-77016-9.

  • R. Lu and Z.-H. Zhou. Advances of Artificial intelligence and Knowledge Engineering in China. The Computer Journal, 2007, 50(4): 377. This article was the editorial to the special issue Advances of Artificial Intelligence and Knowledge Engineering in China edited by R. Lu and Z.-H. Zhou

  • X. Geng, Z.-H. Zhou , and K. Smith-Miles. Automatic age estimation based on facial aging patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence , 2007, 29(12): 2234-2240. This paper was listed as the " Featured article " of the vol.29 no.12 issue of TPAMI

  • Z.-H. Zhou and M. Li. Semi-supervised regression with co-training style algorithms . IEEE Transactions on Knowledge and Data Engineering , 2007, 19(11): 1479-1493.

  • M. Li and Z.-H. Zhou . Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples . IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans , 2007, 37(6): 1088-1098.

  • M.-L. Zhang and Z.-H. Zhou . ML-kNN: A lazy learning approach to multi-label learning . Pattern Recognition , 2007, 40(7): 2038-2048.

  • Z.-H. Zhou and M.-L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering . Knowledge and Information Systems , 2007, 11(2): 155-170.

  • Y. Yu, D.-C. Zhan, X.-Y. Liu, M. Li, and Z.-H. Zhou . Predicting future customers via ensembling gradually expanded trees . International Journal of Data Warehousing and Mining , 2007, 3(2): 12-21. Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team

  • D. Zhang, S. Chen, and Z.-H. Zhou . Entropy-inspired competitive clustering algorithms . International Journal of Software Informatics , 2007, 1(1): 67-84.

  • Z.-H. Zhou and H.-B. Dai. Exploiting image contents in web search . In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'07) , Hyderabad, India, 2007, pp.2928-2933.

  • Z.-H. Zhou , D.-C. Zhan, and Q. Yang. Semi-supervised learning with very few labeled training examples . In: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07) , Vancouver, Canada, 2007, pp.675-680.

  • M.-L. Zhang and Z.-H. Zhou . Multi-label learning by instance differentiation . In: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI'07) , Vancouver, Canada, 2007, pp.669-674.

  • Z.-H. Zhou and J.-M. Xu. On the relation between multi-instance learning and semi-supervised learning . In: Proceedings of the 24th International Conference on Machine Learning (ICML'07) , Corvallis, OR, 2007, pp.1167-1174.

  • X.-L. Li and Z.-H. Zhou . Structure learning of probabilistic relational models from incomplete relational data . In: Proceedings of the 18th European Conference on Machine Learning (ECML'07) , Warsaw, Poland, LNAI 4701, 2007, pp.214-225.

  • W. Wang and Z.-H. Zhou . Analyzing co-training style algorithms . In: Proceedings of the 18th European Conference on Machine Learning (ECML'07) , Warsaw, Poland, LNAI 4701, 2007, pp.454-465.

  • Y. Yu, Z.-H. Zhou , and K. M. Ting. Cocktail ensemble for regression . In: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM'07) , Omeha, NE, 2007, pp.721-726.

  • D. Zhang, Z.-H. Zhou , and S. Chen. Semi-supervised dimensionality reduction . In: Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07) , Minneapolis, MN, 2007, pp.629-634.

  • J. Liu, S. Chen, Z.-H. Zhou , and X. Tan. Single image subspace for face recognition . In: Proceedings of the 3rd International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07) , in Conjunction with ICCV'07, Rio de Janeiro, Brazil, LNCS 4778, 2007, pp.205-219.

  • Z.-H. Zhou . Mining ambiguous data with multi-instance multi-label learning . In: Proceedings of the 3rd International Conference on Advanced Data Mining and Applications (ADMA'07) , Harbin, China, LNAI 4632, 2007, pp.1.Invited talk at ADMA'07

  • 周志华 , 王珏 主编 . 机器学习及其应用： 2007 , 北京 : 清华大学出版社 , 2007 (ISBN 978-7-302-16076-2).

  • 周志华 . 半监督学习中的协同训练风范 . 见 : 周志华 , 王珏 主编 . 机器学习及其应用： 2007 , 北京 : 清华大学出版社 , 2007, 259-275 .

  • 周志华 . 机器学习与数据挖掘 . 中国计算机学会通讯 , 2007, 3 (12): 35-44. （特邀综述）

  • 薛晓冰 , 韩洁凌 , 姜远 , 周志华 . 基于多示例学习技术的 Web 目录页面链接推荐 . 计算机研究与发展 , 2007, 44 (3): 406-411.

  • 眭俊明 , 姜远 , 周志华 . 基于频繁项集挖掘的贝叶斯分类算法 . 计算机研究与发展 , 2007, 44 (8): 1293-1300. ( 获 CCTA'07 优秀学生论文奖 )

  • 王魏，姜远，周志华. 对Aggregative-Learning算法的分析. 计算机研究与发展, 2007, 44(增刊II): 219-224.

  • 李楠 , 姜远 , 周志华 . 基于模型似然的超 1- 依赖贝叶斯分类器集成方法 . 模式识别与人工智能 , 2007, 20 (6): 727-737.

  • 詹德川 , 周志华 . 基于相关投影分的特征选择算法 . 计算机科学与探索 , 2007, 1 (2): 138-145.

  • 刘胥影 , 姜远 , 周志华 . 类别不平衡性对代价敏感学习的影响 . 中国人工智能学会第 12 届全国学术年会论文集 , 北京 : 北京邮电大学出版社 , 2007, 163-168. ( 获 CAAI'07 优秀论文奖 )

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最近更新 : 2008-10-23
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