Neural network based class-conditional probability density function using kernel trick for supervised classifier
暂无分享,去创建一个
[1] P. Palanisamy,et al. Formulating Particle Swarm Optimization based Generalized Kernel Function for Kernel-Linear Discriminant Analysis , 2012 .
[2] Amir Sarajedini,et al. Conditional probability density function estimation with sigmoidal neural networks , 1999, IEEE Trans. Neural Networks.
[3] Badong Chen,et al. Mean square convergence analysis for kernel least mean square algorithm , 2012, Signal Process..
[4] Weifeng Liu,et al. Kernel least mean square algorithm with constrained growth , 2009, Signal Process..
[5] Haixia Xu,et al. Adaptive kernel principal component analysis , 2010, Signal Process..
[6] Zhenmin Tang,et al. A modification of kernel discriminant analysis for high-dimensional data - with application to face recognition , 2010, Signal Process..
[7] B. Scholkopf,et al. Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[8] Haesun Park,et al. A comparison of generalized linear discriminant analysis algorithms , 2008, Pattern Recognit..
[9] J. Cid-Sueiro,et al. Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[10] Xianda Zhang,et al. Kernel-based nonlinear discriminant analysis using minimum squared errors criterion for multiclass and undersampled problems , 2010, Signal Process..
[11] Hermann Ney,et al. On the Probabilistic Interpretation of Neural Network Classifiers and Discriminative Training Criteria , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Ziqiang Wang,et al. Multiple kernel local Fisher discriminant analysis for face recognition , 2013, Signal Process..
[13] Yuanqing Li,et al. A linear discriminant analysis method based on mutual information maximization , 2011, Pattern Recognit..
[14] Aristidis Likas,et al. Shared kernel models for class conditional density estimation , 2001, IEEE Trans. Neural Networks.
[15] Masahiro Tanaka,et al. Pattern classification by stochastic neural network with missing data , 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).