Chivalrous
发表于 2025-3-23 12:18:02
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愤怒事实
发表于 2025-3-23 16:03:06
Towards a Formal Account on Negative Latency-directed behaviors in Markov decision processes. Then, we present and characterize methods to synthesize predictions with formal quality criteria that can be turned into negative latency. We provide an outlook on applications of our approach in the settings of formal methods, reinforcement learning, and supervised learning.
enfeeble
发表于 2025-3-23 18:30:19
Formal Verification of a Neural Network Based Prognostics System for Aircraft Equipmentfor neural network verification. To increase the completeness and the scalability of the analysis, we develop a two-step verification method involving abstract interpretation and simulation-based falsification. Numerical results confirm the applicability of the approach.
VALID
发表于 2025-3-23 22:21:28
Conference proceedings 2024nd legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning. .
libertine
发表于 2025-3-24 06:08:57
Conference proceedings 2024in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques
TIA742
发表于 2025-3-24 09:13:00
0302-9743 techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning. .978-3-031-46001-2978-3-031-46002-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
方便
发表于 2025-3-24 11:11:04
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联邦
发表于 2025-3-24 18:22:56
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精确
发表于 2025-3-24 22:34:01
https://doi.org/10.1007/978-3-8351-9089-4We are happy to present the proceedings of AISoLA’s Track C2: ..
向外供接触
发表于 2025-3-24 23:14:44
,Gründer-CEOs und ihr Führungsverhalten,We revisit the principle of Smart Sampling which makes it possible to apply Statistical Model Checking on stochastic and non-deterministic systems. We point out difficulties in the design of the initial algorithm and we propose effective solutions to solve them. Our contributions are implemented in the Plasma tool.