Kong E, Dietterich T G. Error correcting output codes corrects bias and variance[C]. Proc of the 21th Int Conf on Machine Learning. California, 1995: 313-321.
[2]
Dietterich T G, Bakiri G Solving. Multi-class learning problems via error-correcting output codes[J]. J of Artificial Intelligence Research, 1995, 34(2):263-286.
[3]
Francesco Ricci, David W Aha. Error correcting output codes for local learners[C]. Proc of the 10th European Conf on Machine Learning. Chemita: Springer, 1998: 280-291.
[4]
Masulli F, Valentini G. Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines[J]. Pattern Analysis and Application, 2003, 65(6): 285-300.
[5]
Matthew Prior, Terry Windeatt. Over-fitting in ensembles of neural network classifiers within ECOC frameworks[J]. Lecture Notes in Computer Science, 2005, 3541(1): 286-295.
[6]
Garcia-Pedrajas N, Ortiz-Boyer D. An empirical study of binary classifier fusion methods for multiclass classification[J]. Information Fusion, 2011, 12(2): 111-130.
[7]
Mohammad Ali Bagheri, Gholam Ali Montazer, Ehsanollah Kabir. A subspace approach to error correcting output codes[J]. Pattern Recogniton Letters, 2013, 34(1): 176-184.
[8]
Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera. A gentic-based subspace analysis method for improving error-correcting output coding[J]. Pattern Recognition, 2013, 46(10): 2830-2839.
[9]
Miguel Angel Bautista, Sergio Escalera, Xavier Baro, et al. On the design of an ecoc-compliant genetic algorithm[J]. Pattern Recogntion, 2014, 47(2): 865-884.
(Zhou J D,Wang X D. Multiclass classification of adaptive error-correcting output codes based on confusion matrix[J]. Systems Engineering and Electronics, 2012, 34(7): 220-226.)
[12]
Zhou J D, Wang X D, Zhou H J, et al. Decoding design based on conditional probabilities in ternary errorcorrecting output codes[J]. Pattern Recognition, 2012, 45(4): 1342-1351.
(Lei L, Wang X D, Luo X, et al. An overview of multiclassification based on error-correcting output codes[J]. Acta Electrinica Sinica, 2014, 42(9): 1794-1800.)
(Zhou J D,Wang X D, Zhou H J, et al. Designing of output codes based on minimal ?? nearest neighbor classifying error and its application in multi-class classification[J]. Control and Decision, 2011, 26(9): 1296-1302.)