1029 search results - page 80 / 206 » Neural Networks and Complexity Theory |
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
INFORMATICALT
2000
14 years 9 months ago
2000
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estima...
114
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BMCBI
2007
14 years 10 months ago
2007
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
122
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Publication
A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamic devices interconnected by links of varying s...
118
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NCA
2006
IEEE
14 years 9 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...