Results 261 to 270 of about 5,847,452 (300)
Some of the next articles are maybe not open access.
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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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, 2003All-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, 2000This 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, 2018Abstract 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, 2010It 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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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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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.
openaire +1 more source
Optimizing consensus reaching in the hybrid opinion dynamics in a social network•
Information Fusion, 2021Zhaoxia Guo, Haiming Liang
exaly
QuantumLeap: Hybrid quantum neural network for financial predictions
Expert Systems With Applications, 2022Éric Paquet, Farzan Soleymani
exaly

