Semisupervised Dynamic Fuzzy K -Nearest Neighbors
暂无分享,去创建一个
[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] S. Maouche,et al. Self-adaptive kernel machine: online clustering in RKHS , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[3] Plamen P. Angelov,et al. A fuzzy controller with evolving structure , 2004, Inf. Sci..
[4] Edwin Lughofer,et al. Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications , 2011, Studies in Fuzziness and Soft Computing.
[5] Fabio Gagliardi Cozman,et al. Semi-Supervised Learning of Mixture Models , 2003, ICML.
[6] Plamen P. Angelov,et al. Handling drifts and shifts in on-line data streams with evolving fuzzy systems , 2011, Appl. Soft Comput..
[7] Hichem Frigui,et al. A robust algorithm for automatic extraction of an unknown number of clusters from noisy data , 1996, Pattern Recognit. Lett..
[8] I. Elmi,et al. Adaptive K-NN for the detection of air pollutants with a sensor array , 2004, IEEE Sensors Journal.
[9] Plamen Angelov,et al. Evolving Intelligent Systems: Methodology and Applications , 2010 .
[10] Hichem Frigui,et al. Clustering by competitive agglomeration , 1997, Pattern Recognit..
[11] G. Nakhaeizadeh,et al. Dynamic Supervised Learning: Some Basic Issues and Application Aspects , 1997 .
[12] Michael Werman,et al. An On-Line Agglomerative Clustering Method for Nonstationary Data , 1999, Neural Computation.
[13] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Jan Kybic. Incremental Updating of Nearest Neighbor-Based High-Dimensional Entropy Estimation , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[15] Yang Song,et al. IKNN: Informative K-Nearest Neighbor Pattern Classification , 2007, PKDD.
[16] Gancho Vachkov. Online Classification of Machine Operation Modes Based on Information Compression and Fuzzy Similarity Analysis , 2009, IFSA/EUSFLAT Conf..
[17] James M. Keller,et al. A fuzzy K-nearest neighbor algorithm , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[18] Sargur N. Srihari,et al. A fast algorithm for finding k-nearest neighbors with non-metric dissimilarity , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.
[19] D. Auslander,et al. Adaptive classification of myocardial electrogram waveforms , 1994, IEEE Transactions on Biomedical Engineering.
[20] C. W. Therrien,et al. Decision, Estimation and Classification: An Introduction to Pattern Recognition and Related Topics , 1989 .
[21] Fabio Gagliardi Cozman,et al. Semi-Supervised Learning of Mixture Models and Bayesian Networks , 2003 .
[22] Beatrice Gralton,et al. Washington DC - USA , 2008 .
[23] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[24] Nikola Kasabov,et al. Evolving Connectionist Systems: The Knowledge Engineering Approach , 2007 .
[25] Vincent Garcia,et al. Suivi d'objets d'intérêt dans une séquence d'images : des points saillants aux mesures statistiques , 2008 .
[26] Eyke Hüllermeier,et al. Efficient instance-based learning on data streams , 2007, Intell. Data Anal..
[27] Andrzej Bargiela,et al. General fuzzy min-max neural network for clustering and classification , 2000, IEEE Trans. Neural Networks Learn. Syst..
[28] Carlo Zaniolo,et al. An Adaptive Nearest Neighbor Classification Algorithm for Data Streams , 2005, PKDD.