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Hybridization Networks

2007
Abstract Evolutionary (phylogenetic) trees are used to represent the tree-like evolution of a collection of taxa. For many groups of taxa (for example, most mammals) this representation is appropriate. However, non-tree-like evolutionary processes such as hybridization, horizontal gene transfer, and recombination mean that some groups of
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Optical networks with hybrid routing

IEEE Journal on Selected Areas in Communications, 2003
All-optical switching or wavelength routing has the benefit of optical bypass that can eliminate expensive high-speed electronic processing at intermediate nodes and reduce significantly the cost of high-bandwidth transport. But all-optical switching has the limitations of coarse granularity, lack of multiplexing gain, and scarcity of wavelength ...
Hong Huang, John A. Copeland
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Hybrid multilayered perceptron networks

International Journal of Systems Science, 2000
This paper introduces a modified multilayered perception network (MLP) called the Hybrid Multilayered Perceptron (HMLP) network to improve the performance of a MLP network. The convergence rate of the proposed network is further improved by proposing a modified version of the recursive prediction error algorithm as the training algorithm.
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Hybrid Gabor Convolutional Networks

Pattern Recognition Letters, 2018
Abstract Despite great effectiveness of very wide and deep convolutional neural networks (DCNNs) in various computer vision tasks, the significant cost in terms of storage requirement of such networks impedes the deployment on computationally limited devices.
Chunlei Liu 0001   +3 more
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Hybrid Transfer Function Networks

2010 International Conference on Machine Learning and Cybernetics, 2010
It is easy for a multi-layered perception (MLP) to form open plane classification borders, and for a radial basis function network (RBFN) to form closed circular or elliptic classification borders. In contrast, it is difficult for a MLP to form closed circular or elliptic classification borders, and for RBFN to form open plane classification borders ...
I-Cheng Yeh 0002   +2 more
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Hybrid Random Network Coding

2011
To avoid possible dependence among coded packets, most research works of random linear network coding suggest encoding packets over a Galois field with enough many elements, e.g., GF(28) or GF(216). However, Galois operations are with higher computational cost than ordinary integer operations.
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QuantumLeap: Hybrid quantum neural network for financial predictions

Expert Systems With Applications, 2022
Éric Paquet, Farzan Soleymani
exaly  

Hybrid quantum key distribution network

Science China Information Sciences, 2022
Xiaolong Su
exaly  

The effect of nanoparticles on gas permeability with polyimide membranes and network hybrid membranes: a review

Reviews in Inorganic Chemistry, 2021
Ehsan Kianfar, Jiayou Liao, Jiwei Ma
exaly  

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