We study the storage capacity of a fully connected committee machine with a large number K of hidden nodes. The storage capacity is obtained by analyzing the geometrical structure of the weight space related to the internal representation. By examining the asymptotic behavior of order parameters in the limit of large K, the storage capacity alpha(c) is found to be proportional to K root lnK up to the leading order. This result satisfies the mathematical bound given by Mitchison and Durbin [Biol. Cybern. 60, 345 (1989)], whereas the replica-symmetric solution in a conventional Gardner approach [Europhys. Lett. 41, 481 (1987); J. Phys. A 21, 257 (1988)] violates this bound.open115sciescopu
We study generalizations of the Hopfield model for associative memory which contain interactions of ...
The Bidirectional Associative Memory (B.A.M.) is a neural network which can store and associate pair...
Abstract—We study two variations of the distributed storage allocation problem. The goal is to alloc...
We study a fully-connected parity machine with K hidden units for continuous weights. The geometrica...
We study a fully-connected parity machine with K hidden units for continuous weights. The geometrica...
The problem of computing the storage capacity of a feed-forward network, with L hidden layers, N inp...
Abstract: "The information-storage capacity of hetero-associative memory systems is addressed. The a...
<p><b>A,</b> Contour plot of pattern capacity (number of stored memories) as a function of assembly...
126 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.This thesis presents a charac...
We consider the properties of “Potts” neural networks where each neuron can be in $Q$ different stat...
We study the number p of unbiased random patterns which can be stored in a neural network of N neuro...
Storage capacity of the linear associator: beginnings of a theory of computational memor
International audienceWe study the problem of determining the capacity of the binary perceptron for ...
This contribution discusses the thermodynamic phases and storage capacity of an extension of the Hop...
We consider a storage allocation model with a finite number of storage spaces. There are m primary s...
We study generalizations of the Hopfield model for associative memory which contain interactions of ...
The Bidirectional Associative Memory (B.A.M.) is a neural network which can store and associate pair...
Abstract—We study two variations of the distributed storage allocation problem. The goal is to alloc...
We study a fully-connected parity machine with K hidden units for continuous weights. The geometrica...
We study a fully-connected parity machine with K hidden units for continuous weights. The geometrica...
The problem of computing the storage capacity of a feed-forward network, with L hidden layers, N inp...
Abstract: "The information-storage capacity of hetero-associative memory systems is addressed. The a...
<p><b>A,</b> Contour plot of pattern capacity (number of stored memories) as a function of assembly...
126 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.This thesis presents a charac...
We consider the properties of “Potts” neural networks where each neuron can be in $Q$ different stat...
We study the number p of unbiased random patterns which can be stored in a neural network of N neuro...
Storage capacity of the linear associator: beginnings of a theory of computational memor
International audienceWe study the problem of determining the capacity of the binary perceptron for ...
This contribution discusses the thermodynamic phases and storage capacity of an extension of the Hop...
We consider a storage allocation model with a finite number of storage spaces. There are m primary s...
We study generalizations of the Hopfield model for associative memory which contain interactions of ...
The Bidirectional Associative Memory (B.A.M.) is a neural network which can store and associate pair...
Abstract—We study two variations of the distributed storage allocation problem. The goal is to alloc...