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2009
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Z.-H. Zhou and T. Washio, eds.
Advances in Machine Learning (Lecture Notes in Artificial Intelligence 5828)
.
Proceedings of the 1st Asian Conference on Machine Learning (ACML'09)
, Berlin: Springer, 2009. ISBN: 978-3-642-05223-1
G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, eds.
Working Notes of the 1st Workshop on Learning from Multi-Label Data (MLD'09)
, in conjunction with ECML PKDD'09, Bled, Slovenia, 2009.
N. Chawla, N. Japkowicz, and Z.-H. Zhou, eds.
Working Notes of the Workshop on Data Mining When Classes are Imbalanced and Errors Have Costs (ICEC'09)
, in conjunction with PAKDD'09, Bangkok, Thailand, 2009.
Z.-H. Zhou, H. Li, and Q. Yang.
Editorial: Special issue on selected papers of PAKDD 2007
.
Knowledge and Information Systems
, 2009, 19(2): 131-132.
T. B. Ho, Z.-H. Zhou, and H. Motoda.
Preface
.
International Journal of Software and Informatics
, 2009, 3(1): 1-2.
Z.-H. Zhou.
Ensemble learning
. In: S. Z. Li ed.
Encyclopedia of Biometrics
, Berlin: Springer, 2009, 270-273.
Z.-H. Zhou.
Ensemble
. In: L. Liu and T. Özsu eds.
Encyclopedia of Database Systems
, Berlin: Springer, 2009, 988-991.
Z.-H. Zhou.
Boosting
. In: L. Liu and T. Özsu eds.
Encyclopedia of Database Systems
, Berlin: Springer, 2009, 260-263.
Z.-H. Zhou and Y. Yu.
AdaBoost
. In: X. Wu and V. Kumar eds.
The Top Ten Algorithms in Data Mining
, Boca Raton, FL: Chapman & Hall, 2009, 127-149.
X.-B. Xue and Z.-H. Zhou.
Distributional features for text categorization
.
IEEE Transactions on Knowledge and Data Engineering
, 2009, 21(3): 428-442.
Y. Guo, F. Liu, J. Shi, Z.-H. Zhou, and M. Gleicher.
Image retargeting using mesh parametrization
.
IEEE Transactions on Multimedia
, 2009, 11(5): 856-867.
X. Tan, S. Chen, Z.-H. Zhou, and J. Liu.
Face recognition under occlusions and variant expressions with partial similarity
.
IEEE Transactions on Information Forensics & Security
, 2009, 4(2): 217-230.
X.-Y. Liu, J. Wu, and Z.-H. Zhou.
Exploratory undersampling for class-imbalance learning
_.
IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics
, 2009, 39(2): 539-550.
M. Li, H. Li, and Z.-H. Zhou.
Semi-supervised document retrieval
.
Information Processing & Management
, 2009, 45(3): 341-355.
M.-L. Zhang and Z.-H. Zhou.
Multi-instance clustering with applications to multi-instance prediction
.
Applied Intelligence
, 2009, 31(1): 47-68.
S. Ji, Y.-X. Li, Z.-H. Zhou, S. Kumar, J. Ye.
A bag-of-words approach for drosophila gene expression pattern annotation
.
BMC Bioinformatics
, 2009, 10: 119.
Y. Jiang, M. Li, and Z.-H. Zhou.
Mining extremely small data sets with application to software reuse
.
Software: Practice and Experience
, 2009, 39(4): 423-440.
N. Li, Y. Yu, and Z.-H. Zhou.
Semi-naive exploitation of one-dependence estimators
. In:
Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09)
, Miami, FL, 2009, pp.278-287.
L.-P. Liu, Y. Jiang, and Z.-H. Zhou.
Least square incremental linear discriminant analysis
. In:
Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09)
, Miami, FL, 2009, pp.298-306.
X. Geng, K. Smith-Miles, Z.-H. Zhou, and L. Wang.
Face image modeling by multilinear subspace analysis with missing values
. In:
Proceedings of the 17th ACM International Conference on Multimedia (ACM Multimedia'09)
, Beijing, China, 2009, pp.629-632. (short paper)
Y.-F. Li, J. T. Kwok, I. W. Tsang, and Z.-H. Zhou.
A convex method for locating regions of interest with multi-instance learning
. In:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'09)
, Bled, Slovenia, Part II, LNAI 5782, 2009, pp.15-30.
J.-M. Xu, G. Fumera, F. Roli, and Z.-H. Zhou.
Training SpamAssassin with active semi-supervised learning
. In:
Proceedings of the 6th Conference on Email and Anti-Spam (CEAS'09)
, Mountain View, CA, 2009.
Z.-H. Zhou, Y.-Y. Sun, and Y.-F. Li.
Multi-instance learning by treating instances as non-i.i.d. samples
. In:
Proceedings of the 26th International Conference on Machine Learning (ICML'09)
, Montreal, Canada, 2009, pp.1249-1256. (CORR abs/0807.1997)
Y.-F. Li, J. T. Kwok, and Z.-H. Zhou.
Semi-supervised learning using label mean
. In:
Proceedings of the 26th International Conference on Machine Learning (ICML'09)
, Montreal, Canada, 2009, pp.633-640.
D.-C. Zhan, M. Li, Y.-F. Li, and Z.-H. Zhou.
Learning instance specific distances using metric propagation
. In:
Proceedings of the 26th International Conference on Machine Learning (ICML'09)
, Montreal, Canada, 2009, pp.1225-1232.
S. Ji, L. Yuan, Y.-X. Li, Z.-H. Zhou, S. Kumar, and J. Ye.
Drosophila gene expression pattern annotation using sparse features and term-term interactions
. In:
Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'09)
, Paris, France, 2009, pp.407-416.
Y. Zhang and Z.-H. Zhou.
Non-metric label propagation
. In:
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09)
, Pasadena, CA, 2009, pp.1357-1362.
M. Li, X.-B. Xue, and Z.-H. Zhou.
Exploiting multi-modal interactions: A unified framework
. In:
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09)
, Pasadena, CA, 2009, pp.1120-1125.
Y.-X. Li, S. Ji, J. Ye, S. Kumar, and Z.-H. Zhou.
Drosophila gene expression pattern annotation through multi-instance multi-label learning
. In:
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09)
, Pasadena, CA, 2009, pp.1445-1450.
Z.-H. Zhou.
When semi-supervised learning meets ensemble learning
. In:
Proceedings of the 8th International Workshop on Multiple Classifier Systems (MCS'09)
, Reykjavik, Iceland, LNCS 5519, 2009, pp.529-538.
Invited plenary talk
at MCS'09
N. Li and Z.-H. Zhou.
Selective ensemble under regularization framework
. In:
Proceedings of the 8th International Workshop on Multiple Classifier Systems (MCS'09)
, Reykjavik, Iceland, LNCS 5519, 2009, pp.293-303.
R. Jin, S. Wang, and Z.-H. Zhou.
Learning a distance metric from multi-instance multi-label data
. In:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09)
, Miami, FL, 2009, pp.896-902.
X. Tan, F. Song, Z.-H. Zhou, and S. Chen.
Enhanced pictorial structures for precise eye localization under uncontrolled conditions
. In:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09)
, Miami, FL, 2009, pp.1621-628.
Y.-F. Li, I. W. Tsang, J. Kwok, and Z.-H. Zhou.
Tighter and convex maximum margin clustering
. In:
Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS'09)
, Clearwater Beach, FL, 2009, pp.328-335.
Z.-H. Zhou, M. Ng, Q.-Q. She, and Y. Jiang.
Budget semi-supervised learning
. In:
Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09)
, Bangkok, Thailand, LNAI 5476, 2009, pp.588-595.
C. X. Ling, J. Du, and Z.-H. Zhou.
When does co-training work in real data
? In:
Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09)
, Bangkok, Thailand, LNAI 5476, 2009, pp.596-603.
X.-Y. Liu and Z.-H. Zhou.
Learning with cost intervals
. In:
Working Notes of the Workshop on Data Mining When Imbalanced Classes and Errors in Costs (ICEC'09)
, in conjunction with PAKDD'09, Bangkok, Thailand, 2009, pp.26-37.
周志华, 王珏 主编.
机器学习及其应用:2009
, 北京: 清华大学出版社, 2009. (ISBN 978-7-302-20419-0)
周志华, 张敏灵.
MIML: 多示例多标记学习
. 见: 周志华, 王珏 主编,
机器学习及其应用:2009
, 北京: 清华大学出版社, 2009, 218-234 (第10章).
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