Results 31 to 40 of about 7,091,614 (353)
Proceedings of International Conference on Artificial Life and Robotics, 2020 We introduce network with sub-networks, a neural network which its weight layers could be detached into sub-neural networks during inference. To develop weights and biases which could be inserted in both base and sub-neural networks, firstly, the parameters are copied from sub-model to base-model. Each model is forward-propagated separately.
Fuengfusin, Ninnart, Tamukoh, Hakaru
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Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead [PDF]
, 2022 6G networks are expected to face the daunting task of providing support to a set of extremely diverse services, each more demanding than those of previous generation networks (e.g., holographic communications, unmanned mobility, etc.), while at the same ...
Widmer, Joerg +3 more
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Nutritional quality modulates trait variability
Frontiers in Zoology, 2018 Background Trait based functional and community ecology is en vogue. Most studies, however, ignore phenotypical diversity by characterizing entire species considering only trait means rather than their variability. Phenotypical variability may arise from
Adrian Brückner +3 more
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A Novel Hyperparameter-Free Approach to Decision Tree Construction That Avoids Overfitting by Design
IEEE Access, 2019 Decision trees are an extremely popular machine learning technique. Unfortunately, overfitting in decision trees still remains an open issue that sometimes prevents achieving good performance.
Rafael Garcia Leiva +3 more
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YouTube Dataset on Mobile Streaming for Internet Traffic Modeling and Streaming Analysis
Scientific Data, 2022 Measurement(s) Mobile video streaming with YouTube Technology Type(s) Tcpdump and publicly available wrapper app for YouTube data Sample Characteristic - Environment mobile phone • YouTube app Sample Characteristic - Location Germany ...
Frank Loh +4 more
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Percolation of hierarchical networks and networks of networks
Physical Review E, 2018 Much work has been devoted to studying percolation of networks and interdependent networks under varying levels of failures. Researchers have considered many different realistic network structures, but thus far no study has incorporated the hierarchical structure of many networks.
Shekhtman, Louis M., Havlin, Shlomo
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On Network Coding for Sum-Networks [PDF]
IEEE Transactions on Information Theory, 2012 Accepted to IEEE Transactions on Information ...
Brijesh Kumar Rai, Bikash Kumar Dey
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CoRR, 2018 We present N2Net, a system that implements binary neural networks using commodity switching chips deployed in network switches and routers. Our system shows that these devices can run simple neural network models, whose input is encoded in the network packets' header, at packet processing speeds (billions of packets per second).
Giuseppe Siracusano, Roberto Bifulco
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Improved medium-to-short-term earthquake predictions in China in 2022
Geomatics, Natural Hazards & RiskEvery year, China should determine annual seismic hazard regions for earthquakes of magnitude 5.0 and above in Mainland China in the next year. Meanwhile, the short-term earthquake potential in each seismic hazard region is evaluated by monthly analyzing
Huaizhong Yu +11 more
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Prediction of operating dynamics in floating-zone crystal growth using Gaussian mixture model
Science and Technology of Advanced Materials: Methods, 2022 We have applied a Gaussian mixture regression to the prediction of operation dynamics in floating zone crystal growth as an example of a materials process.
R. Omae, S. Sumitani, Y. Tosa, S. Harada
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