Eschew 发表于 2025-3-21 17:07:35

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Gullible 发表于 2025-3-21 23:18:20

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洞穴 发表于 2025-3-22 00:49:45

Conference proceedings 2023g April 26–27, 2023. .The 9 full papers and 2 short papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: binary decision diagrams, concurrency, testing, synthesis, explicit-state model checking..

Madrigal 发表于 2025-3-22 08:22:20

978-3-031-32156-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Commentary 发表于 2025-3-22 11:00:06

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Mystic 发表于 2025-3-22 13:35:16

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gospel 发表于 2025-3-22 17:15:03

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专心 发表于 2025-3-22 23:18:19

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ingrate 发表于 2025-3-23 04:24:29

Mini-Batch Variational Inference for Time-Aware Topic Modeling,ilar to neural networks. Our method was actually implemented with deep learning framework. The evaluation results show that we could improve test set perplexity by using document timestamps and also that our test perplexity was comparable with that of collapsed Gibbs sampling, which is less efficient in memory usage than the proposed inference.

形状 发表于 2025-3-23 09:01:26

1860-1030 researchers have strived to determine the future development of energy consumption, infrastructure and technology resources...This book proposes a new agent-based approach to studying the devel978-3-7908-2544-2978-3-7908-2004-1Series ISSN 1860-1030 Series E-ISSN 2197-926X
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查看完整版本: Titlebook: Model Checking Software; 29th International S Georgiana Caltais,Christian Schilling Conference proceedings 2023 The Editor(s) (if applicabl