[1]QIAN Dong,WANG Bei,ZHANG Tao,et al.Classification algorithm based on Copula theory and Bayesian decision theory[J].CAAI Transactions on Intelligent Systems,2016,11(1):78-83.[doi:10.11992/tis.201509011]
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Classification algorithm based on Copula theory and Bayesian decision theory

References:
[1] TIPPING M E. Sparse Bayesian learning and the relevance vector machine[J]. Journal of machine learning research, 2001, 1(3):211-244.
[2] XUE Jinghao, HALL P. Why does rebalancing class-unbalanced data improve AUC for linear discriminant analysis?[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(5):1109-1112.
[3] FERNáNDEZ-DELGADO M, CERNADAS E, BARRO S, et al. Do we need hundreds of classifiers to solve real world classification problems?[J]. Journal of machine learning research, 2014, 15(1):3133-3181.
[4] RODRIGUEZ A, LAIo A. Clustering by fast search and find of density peaks[J]. Science, 2014, 344(6191):1492-1496.
[5] 李宏伟, 刘扬, 卢汉清, 等. 结合半监督核的高斯过程分类[J]. 自动化学报, 2009, 35(7):888-895. LI Hongwei, LIU Yang, LU Hanqing, et al. Gaussian processes classification combined with semi-supervised kernels[J]. Acta automatica sinica, 2009, 35(7):888-895.
[6] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2001, 3(4-5):993-1022.
[7] BISHOP C M. Pattern Recognition and Machine Learning[M]. New York:Springer, 2006:21-31.
[8] NG A Y, JORDAN M I. On discriminative vs. generative classifiers:a comparison of logistic regression and na?ve Bayes[C]//Advances in Neural Information Processing Systems. Vancouver, British Columbia, Canada, 2002, 14:841-848.
[9] 李航. 统计学习方法[M]. 北京:清华大学出版社, 2012:77-91.
[10] JAIN A K, DUIN R P W, MAO Jianchang. Statistical pattern recognition:a review[J]. IEEE transactions on pattern analysis and machine intelligence, 2000, 22(1):4-37.
[11] DUDA R O, HART P E, STORK D G. Pattern Classification[M]. 2nd ed. New York:Wiley, 2001:20-45.
[12] MURPHY K P. Machine Learning:A Probabilistic Perspective[M]. England:MIT, 2012:82-87.
[13] NELSEN R B. An Introduction to Copulas[M]. 2nd ed. Springer:Berlin, 2006.
[14] GENEST C, FAVRE A C. Everything you always wanted to know about Copula modeling but were afraid to ask[J]. Journal of hydrologic engineering, 2007, 12(4):347-368.
[15] EBAN E, ROTHSCHILD G, MIZRAHI A, et al. Dynamic Copula networks for modeling real-valued time series[C]//Proceedings of the 16th International Conference on Artificial Intelligence and Statistics. Scottsdale, AZ, USA, 2013, 4:247-255.
[16] KRISTAN M, LEONARDIS A, SKOC AJ D. Multivariate online kernel density estimation with Gaussian kernels[J]. Pattern recognition, 2011, 44(10-11):2630-2642.
[17] CHERUBINI U, LUCIANO E, VECCHIATO W. Copula Methods in Finance[M]. England:John Wiley & Sons, 2004.
[18] PATTON A J. A review of Copula models for economic time series[J]. Journal of multivariate analysis, 2012, 110:4-18.
[19] AUBASI A. Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders[J]. Computers in biology and medicine, 2013, 43(5):576-586.
[20] TAGLUK M E, SEZGIN N, AKIN M. Estimation of sleep stages by an artificial neural network employing EEG, EMG and EOG[J]. Journal of medical systems, 2010, 34(4):717-725.
[21] CICHOCKI A, MANDIC D, DE LATHAUWER L, et al. Tensor decompositions for signal processing applications:from two-way to multiway component analysis[J]. IEEE signal processing, 2015, 32(2):145-163.
[22] KHUSHABA R N, KODAGODA S, LAL S, et al. Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm[J]. IEEE transactions on biomedical engineering, 2011, 58(1):121-131.
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