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Titlebook: Survivors of the Holocaust; Israel after the War Hanna Yablonka Book 1999 Hanna Yablonka 1999 Holocaust.integration.Israel

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书目名称Survivors of the Holocaust
副标题Israel after the War
编辑Hanna Yablonka
视频video
图书封面Titlebook: Survivors of the Holocaust; Israel after the War Hanna Yablonka Book 1999 Hanna Yablonka 1999 Holocaust.integration.Israel
描述This book deals with the integration of thousands of survivors of the Holocaust into Israeli society in the early years of the new State‘s existence.Among the issues discussed are: the ways in which the survivors were recruited into the defence forces and the role they played in the War of Independence, the settlement of the immigrants in towns and villages abandoned by Arabs during the war and the immigrant youth.
出版日期Book 1999
关键词Holocaust; integration; Israel
版次1
doihttps://doi.org/10.1007/978-1-349-14152-4
isbn_softcover978-1-349-14154-8
isbn_ebook978-1-349-14152-4
copyrightHanna Yablonka 1999
The information of publication is updating

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Hanna Yablonkance between the source-code paths executed by the test cases. We evaluate these density estimators within . on 100 non-trivial Java classes from the SF110 benchmark. Our results show that the proposed . (PDE) outperforms all other density estimators in enhancing mutation scores. It increases mutatio
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Hanna Yablonka refer to as ., which starts with developer-written tests as seeds, and then aims to evolve these tests in the direction of killing further mutants. We then empirically compare . with a state-of-the-art test amplification tool, ., on 42 versions of 29 different classes from the . benchmark, using th
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tion of the state-based behaviour of the graphical user interface, and can predict traces for already explored behaviour, thus avoiding costly test executions. We integrate this surrogate model in the search-based test generator . and perform an empirical study on a set of 10 Android apps. Results i
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Hanna Yablonkaf-concept implementation is provided to demonstrate how evolutionary search can generate adversarial examples that existing models fail to correctly process. We applied our approach to benchmark datasets, Microsoft COCO and Waymo Open Dataset, applying minor perturbations to generate adversarial exa
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