Advances in Neural Network Modeling
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[1] D. Signorini,et al. Neural networks , 1995, The Lancet.
[2] Yann LeCun,et al. Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network , 1991, NIPS.
[3] John E. Moody,et al. The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems , 1991, NIPS.
[4] Judea Pearl,et al. Belief Networks Revisited , 1993, Artif. Intell..
[5] Geoffrey E. Hinton,et al. Simplifying Neural Networks by Soft Weight-Sharing , 1992, Neural Computation.
[6] Yaser S. Abu-Mostafa,et al. Hints and the VC Dimension , 1993, Neural Computation.
[7] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[8] Michael I. Jordan,et al. Learning from Incomplete Data , 1994 .
[9] Timothy Masters,et al. Advanced algorithms for neural networks: a C++ sourcebook , 1995 .
[10] Warren S. Sarle,et al. Stopped Training and Other Remedies for Overfitting , 1995 .
[11] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[12] Jouko Lampinen,et al. Using Background Knowledge in Neural Network Learning , 1996 .
[13] J. Lampinen,et al. Using Background Knowledge in Multilayer Perceptron Learning , 1997 .
[14] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[15] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[16] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[17] Michael I. Jordan,et al. Modular and hierarchical learning systems , 1998 .
[18] Christopher M. Bishop,et al. Regularization and complexity control in feed-forward networks , 1995 .
[19] David S. Touretzky,et al. Learning with Ensembles: How Over--tting Can Be Useful , 1996 .
[20] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .
[21] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[22] Christopher M. Bishop,et al. Curvature-driven smoothing: a learning algorithm for feedforward networks , 1993, IEEE Trans. Neural Networks.