额外的事 发表于 2025-3-26 22:25:05
http://reply.papertrans.cn/89/8820/881958/881958_31.pngobjection 发表于 2025-3-27 02:30:40
http://reply.papertrans.cn/89/8820/881958/881958_32.pngImmortal 发表于 2025-3-27 09:02:09
Hilarion G. Petzold,Brigitte Schigl,Martin Fischer,Claudia Höfnera function of the parameters of the model. Smoothed model checking (smMC) [.] infers the satisfaction function over the entire parameter space from a limited set of observations obtained via simulation. As observations are costly and noisy, smMC leverages the power of Bayesian learning based on GausMURAL 发表于 2025-3-27 10:50:54
Kurt Gottfried Dipl.-Päd., Dipl.-Sup.,Sylvie Petitjean Lic. phil.,Hilarion G. Petzoldled components, such as deep neural networks (DNNs) for visual perception. DNNs are hard to analyze due to their size (they can have thousands or millions of parameters), lack of formal specifications (DNNs are typically learnt from labeled data, in the absence of any formal requirements), and sensi扔掉掐死你 发表于 2025-3-27 15:42:01
Hilarion G. Petzold,Brigitte Schigl,Martin Fischer,Claudia Höfner produce a verdict at each step that is sound with respect to the specification. It is often the case that a monitor must produce a ? verdict and wait for more observations. On the other hand, sometimes a verdict is inevitable but monitoring algorithms wait to produce the verdict, because it seemingOVERT 发表于 2025-3-27 19:17:05
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http://reply.papertrans.cn/89/8820/881958/881958_37.png凶残 发表于 2025-3-28 02:25:45
http://reply.papertrans.cn/89/8820/881958/881958_38.png悲痛 发表于 2025-3-28 09:56:15
http://image.papertrans.cn/t/image/881958.jpg不来 发表于 2025-3-28 13:50:23
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