Training algorithm of DeepSeek-R1 in-depth The key intuition behind the DeepSeek-R1 can be summarized as below, The foundation model's reasoning capabilities can be significantly improved through large-scale re
Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-driven models in predicting human behaviour, ...
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Received27 December 2020 Accepted10 August 2021 Published06 September 2021 Issue DateOctober 2021 DOIhttps://doi.org/10.1007/s40846-021-00647-7 Keywords Explainable artificial intelligence Argumentative agents Machine learning Mathematics Subject Classification 68T30...
The characterization of topology is crucial in understanding network evolution and behavior. This paper presents an innovative approach, the GHuST framework to describe complex-network topology from graphlet decomposition. This new framework exploits the
work was supported by the Human Frontier Science Program (grants RGP0022/2014 and LT-001074/2013-L), EPSRC Program (Grant No. EP/P006094/1: Brains on Board), National Natural Science Foundation of China (Grant No. 31700988) and China Postdoctoral Science Foundation (Grant no. 2017M622726)...
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