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Titlebook: Innovations in Social Finance; Transitioning Beyond Thomas Walker,Jane McGaughey,Nadra Wagdy Book 2021 The Editor(s) (if applicable) and Th

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樓主: Fruition
41#
發(fā)表于 2025-3-28 14:36:22 | 只看該作者
Thomas Walker,Jane McGaughey,Sherif Goubran,Nadra Wagdyng is insufficient for an industrial-strength system of the size and complexity of ZooKeeper, and deep bugs can still be found. To this end, we resort to formal TLA. specifications to further improve the reliability of ZooKeeper. Our primary objective is usability and automation, rather than full ve
42#
發(fā)表于 2025-3-28 20:33:13 | 只看該作者
43#
發(fā)表于 2025-3-28 23:31:50 | 只看該作者
Anne Snicky correct (PAC) learning. The computed interpolant is termed as a PAC interpolant with respect to a violation level . and confidence level .: with at least . confidence, the probability that the PAC interpolant is a true interpolant is larger than .. Unlike classical interpolants which are used to j
44#
發(fā)表于 2025-3-29 06:42:30 | 只看該作者
Marguerite Mendell,Nancy Neamtan modelling tool for probabilistic systems with an additional variation or uncertainty that relaxes the need of knowing the exact transition probabilities, which are usually difficult to get from real systems. In this paper, we discuss a notion of alternating probabilistic bisimulation to reduce the
45#
發(fā)表于 2025-3-29 09:09:27 | 只看該作者
Zohreh Hassannezhad Chavoushi,Guang Ying Mo,Wendy Cukier modelling tool for probabilistic systems with an additional variation or uncertainty that relaxes the need of knowing the exact transition probabilities, which are usually difficult to get from real systems. In this paper, we discuss a notion of alternating probabilistic bisimulation to reduce the
46#
發(fā)表于 2025-3-29 11:23:01 | 只看該作者
47#
發(fā)表于 2025-3-29 17:03:48 | 只看該作者
48#
發(fā)表于 2025-3-29 20:31:20 | 只看該作者
49#
發(fā)表于 2025-3-30 02:01:41 | 只看該作者
50#
發(fā)表于 2025-3-30 07:04:37 | 只看該作者
Dave Gorman,Julia Qermezi Huangtc.) and little time overhead. However, existing vulnerability detection methods often rely on manual intervention by human experts or result in high false positives and high false negatives. Additionally, the development of deep learning techniques has prompted many scholars to conduct research in
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