منابع مشابه
Scaling theory for information networks.
Networks distribute energy, materials and information to the components of a variety of natural and human-engineered systems, including organisms, brains, the Internet and microprocessors. Distribution networks enable the integrated and coordinated functioning of these systems, and they also constrain their design. The similar hierarchical branching networks observed in organisms and microproce...
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We analyzed the filtered yeast interactome developed by Han et al. [1] which consists of the intersection of three different databases of proteins interactions: the 5249 interactions found in high-throughput yeast-two-hybrid experiments, 6630 interactions appearing in proteome-wide pull-down experiments followed by mass spectrometry analysis, and the 7446 predicted interactions from in silico c...
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A quantum information theory is derived for multidimensional signals scaling. Dynamical data modeling methodology is described for decomposing a signal in a coupled structure of binding synergies, in scale-space. Mass conservation principle, along with a generalized uncertainty relation, and the scale-space wave propagation lead to a polynomial decomposition of information. Statistical map of d...
متن کاملInformation Scaling Law of Deep Neural Networks
With the rapid development of Deep Neural Networks (DNNs), various network models that show strong computing power and impressive expressive power are proposed. However, there is no comprehensive informational interpretation of DNNs from the perspective of information theory. Due to the nonlinear function and the uncertain number of layers and neural units used in the DNNs, the network structur...
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ژورنال
عنوان ژورنال: Journal of The Royal Society Interface
سال: 2008
ISSN: 1742-5689,1742-5662
DOI: 10.1098/rsif.2008.0091