2026年1月19日,广东省智能科学与技术研究院王超名研究组在国际知名学术期刊Nature Communications在线发表题为"Model-agnostic linear-memory online learning in spiking neural networks"的研究论文。该研究首次实现了模型无关、线性内存、全自动编译的脉冲神经网络(Spiking Neural Networks, ...
Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415 The ability to ...
A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...