Finite-size effects and bounds for perceptron models
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[1] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[2] Bernard Derrida,et al. Finite-size effects in random energy models and in the problem of polymers in a random medium , 1991 .
[3] H. Gutfreund,et al. Learning and retrieval in attractor neural networks above saturation , 1991 .
[4] I. Kanter,et al. Storage Capacity of a Multilayer Neural Network with Binary Weights , 1991 .
[5] H M Kohler,et al. Adaptive genetic algorithm for the binary perceptron problem , 1990 .
[6] Optimally adapted attractor neural networks in the presence of noise , 1990 .
[7] Sompolinsky,et al. Learning from examples in large neural networks. , 1990, Physical review letters.
[8] D. Amit,et al. Retrieval phase diagrams for attractor neural networks with optimal interactions , 1990 .
[9] José F. Fontanari,et al. Landscape statistics of the binary perceptron , 1990 .
[10] H. Gutfreund,et al. Capacity of neural networks with discrete synaptic couplings , 1990 .
[11] M. Opper,et al. On the ability of the optimal perceptron to generalise , 1990 .
[12] Györgyi,et al. First-order transition to perfect generalization in a neural network with binary synapses. , 1990, Physical review. A, Atomic, molecular, and optical physics.
[13] Haim Sompolinsky,et al. Learning from Examples in a Single-Layer Neural Network , 1990 .
[14] Miguel Angel Virasoro,et al. Prosopagnosia in high capacity neural networks storing uncorrelated classes , 1990 .
[15] D. Sherrington,et al. The Optimal Retrieval in Boolean Neural Networks , 1989 .
[16] W. Krauth,et al. Storage capacity of memory networks with binary couplings , 1989 .
[17] Edoardo Amaldi,et al. Stability-Capacity Diagram of a Neural Network with Ising Bonds , 1989 .
[18] R. Meir,et al. Mapping correlated Gaussian patterns in a perceptron , 1989 .
[19] I. Kondor,et al. Spin-glass field theory in the condensed phase continued to below d =6 , 1989 .
[20] E. Gardner,et al. Three unfinished works on the optimal storage capacity of networks , 1989 .
[21] E Gardner. Optimal basins of attraction in randomly sparse neural network models , 1989 .
[22] H. Gutfreund,et al. The phase space of interactions in neural networks with definite symmetry , 1989 .
[23] Thomas B. Kepler,et al. Universality in the space of interactions for network models , 1989 .
[24] F. Vallet,et al. Linear and Nonlinear Extension of the Pseudo-Inverse Solution for Learning Boolean Functions , 1989 .
[25] Werner Krauth,et al. Critical storage capacity of the J = ± 1 neural network , 1989 .
[26] F. Vallet. The Hebb Rule for Learning Linearly Separable Boolean Functions: Learning and Generalization , 1989 .
[27] M. Virasoro,et al. Perceptron beyond the limit of capacity , 1989 .
[28] E. Gardner,et al. Optimal storage properties of neural network models , 1988 .
[29] E. Gardner. The space of interactions in neural network models , 1988 .
[30] E. Gardner,et al. Maximum Storage Capacity in Neural Networks , 1987 .
[31] D. Ruelle. A mathematical reformulation of Derrida's REM and GREM , 1987 .
[32] M. Mézard,et al. The simplest spin glass , 1984 .
[33] A. Bray,et al. Lack of self-averaging in spin glasses , 1984 .
[34] B. Derrida. Random-energy model: An exactly solvable model of disordered systems , 1981 .
[35] Thomas M. Cover,et al. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition , 1965, IEEE Trans. Electron. Comput..