On the exponential value of labeled samples
暂无分享,去创建一个
[1] David A. Landgrebe,et al. Asymptotic improvement of supervised learning by utilizing additional unlabeled samples: normal mixture density case , 1992, Optics & Photonics.
[2] R. Chellappa,et al. Texture analysis via unsupervised and supervised learning , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[3] Dejan J. Sobajic,et al. Combined use of unsupervised and supervised learning for dynamic security assessment , 1991 .
[4] Anil K. Jain,et al. Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[6] A. M. Peterson,et al. Nonlinear mapping with minimal supervised learning , 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.
[7] Luc Devroye,et al. Automatic Pattern Recognition: A Study of the Probability of Error , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[8] A. Kester. Some large deviation results in statistics , 1987 .
[9] G. McLachlan,et al. Updating a discriminant function in basis of unclassified data , 1982 .
[10] Anil K. Jain,et al. 39 Dimensionality and sample size considerations in pattern recognition practice , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.
[11] Terence J. O'Neill. Normal Discrimination with Unclassified Observations , 1978 .
[12] G. McLachlan. Estimating the Linear Discriminant Function from Initial Samples Containing a Small Number of Unclassified Observations , 1977 .
[13] H. Teicher. Identifiability of Finite Mixtures , 1963 .
[14] H. Teicher. On the Mixture of Distributions , 1960 .