Results 291 to 300 of about 13,581,527 (336)
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U-Net: Convolutional Networks for Biomedical Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available ...
O. Ronneberger, P. Fischer, T. Brox
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On networks: Network therapy, network intervention and networking
International Journal of Family Therapy, 1979The theories, techniques, and applications of interventions in social networks have multiplied in recent years. This brief paper traces the significant clinical literature on networks, at the same time pointing out similarities with tribal healing in “primitive” societies.
Ross V. Speck, Joan L. Speck
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Networks of networks – An introduction
Chaos, Solitons & Fractals, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dror Y. Kenett (a) +2 more
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A Life in the Day, 2004
This issue's Network gives space to three organisations to describe their work and how they aim to make a difference.
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This issue's Network gives space to three organisations to describe their work and how they aim to make a difference.
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2012
The usefulness of mathematical models for the biological regulatory networks relies on the predictive capability of the models in order to suggest interesting hypotheses and suitable biological experiments. All mathematical frameworks dedicated to biological regulatory networks must manage a large number of abstract parameters, which are not directly ...
Bernot, Gilles +2 more
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The usefulness of mathematical models for the biological regulatory networks relies on the predictive capability of the models in order to suggest interesting hypotheses and suitable biological experiments. All mathematical frameworks dedicated to biological regulatory networks must manage a large number of abstract parameters, which are not directly ...
Bernot, Gilles +2 more
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From Network to “Network of Networks”
2016A network is a dominant model of creation and value share in the social and solidarity economy; this can be a network of companies as well as a network of individuals. The weaknesses, the globalization of the transactions and the social media role in the three types of networks — distributed, administered and steered — push the traditional network ...
Christophe Assens, Aline Courie Lemeur
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Applied Optics, 1987
By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network (CPN) functions as a statistically optimal self-programming lookup table. The paper begins with some introductory comments, followed by the definition of the CPN.
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By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network (CPN) functions as a statistically optimal self-programming lookup table. The paper begins with some introductory comments, followed by the definition of the CPN.
openaire +2 more sources