Cuevas A, Febrero M, Fraiman R. Cluster Analysis: A Further Approach Based on Density Estimation. Computational Statistics and Data Analysis, 2001, 36(4): 441-459
[2]
Chang I, Loew M. Pattern Recognition with New Class Discovery // Proc of the IEEE International Conference on Computer Vision and Pattern Recognition. Maui, USA, 1991: 438-443
[3]
Chow C. Parzen-Window Network Intrusion Detectors // Proc of the 16th International Conference on Pattern Recognition. Québec, Canada, 2002: 385-388
[4]
Lauer M. A Mixture Approach to Novelty Detection Using Training Data with Outliers // Proc of the 12th European Conference on Machine Learning. Freiburg, Germany, 2001: 300-311
[5]
Liu Yan, Gururajan S, Cukic B, et al. Validating an Online Adaptive System Using SVDD // Proc of the 15th International Conference on Tools with Artificial Intelligence. Sacramento, USA, 2003: 384-388
[6]
Tax D M J, Duin R P W. Support Vector Data Description. Machine Learning, 2004, 54(1): 45-66
[7]
Ougiaroglou S, Nanopoulos A, Papadopoulos A N, et al. Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors // Proc of the 11th East-European Conference on Advances in Databases and Information Systems. Varna, Bulgaria, 2007: 66-82
[8]
Krishnapuram B. Adaptive Classifier Design Using Labeled and Unlabeled Data. Ph.D Dissertation. Durham, USA: Duke University. Department of ECE, 2004
[9]
Zhou Dengyong, Bousquet O, Lal T N, et al. Learning with Local and Global Consistency // Thrun S, Saul L K, Scholkpf B, eds. Advances in Neural Information Processing System. Cambridge, USA: MIT Press, 2004, 16: 321-328
[10]
Xie Maoqiang, Huang Yalou. Adaptive Algorithm for Class Incremental Induction of Decision Tree. Computer Engineering, 2006, 32(17): 41-43 (in Chinese) (谢茂强,黄亚楼.适应类别增量的决策树训练算法.计算机工程, 2006, 32(17): 41-43)
[11]
Song Rui, Zhang Jing, Xia Shengpin, et al. An Adaptive Classification Method of BP-NN Group Based Classification System and Its Application. Acta Electronica Sinica, 2001, 29(12): 1950-1953 (in Chinese) (宋 锐,张 静,夏胜平,等.一种基于BP 神经网络群的自适应分类方法及其应用.电子学报, 2001, 29(12): 1950-1953)
[12]
Xing E P, Ng A Y, Jordan M I, et al. Distance Metric Learning, with Application to Clustering with Side-Information // Becker S, Thrun S, Obermayer K, eds. Advances in Neural Information Processing System. Cambridge, USA: MIT Press, 2003, 15: 505-512
