AMUSE 发表于 2025-3-21 16:17:00
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,Einführung in die erste Auflage,hat improves the performance of stream-based Java applications. The approach enables the effective usage of Java for HPC applications, due to data locality improvements (i.e., support for efficient data layouts), without losing the object-oriented view of data in the code. The approach extends the J褪色 发表于 2025-3-22 01:15:56
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http://reply.papertrans.cn/32/3166/316547/316547_5.pngCommonplace 发表于 2025-3-22 14:42:37
https://doi.org/10.1007/978-3-663-09711-2e flexible and thus have many practical applications. In this paper we present the results of our attempt to use the recent advancements in Reinforcement Learning to automate the management of resources in a compute cloud environment. We describe a new approach to self-adaptation of autonomous managCommonplace 发表于 2025-3-22 18:48:03
,Die Sternkunde der Naturvölker,heoretic approach where players tend to achieve a solution by reaching a Nash equilibrium. We propose a fully distributed algorithm based on applying the Spatial Prisoner’s Dilemma (SPD) game and a phenomenon of collective behavior of players participating in the game composed of two classes of automutineer 发表于 2025-3-23 00:59:17
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http://reply.papertrans.cn/32/3166/316547/316547_9.pngPAD416 发表于 2025-3-23 07:18:38
https://doi.org/10.1007/978-3-0348-6519-7omputational complexity and big memory requirements, which exceed the capacity of small devices for inference. Knowledge distillation is an efficient approach to compress a large deep model (a teacher model) to a compact model (a student model). Existing online knowledge distillation methods typical