刘兴旺
发表于 2025-3-21 16:29:35
书目名称Agents and Artificial Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0151223<br><br> <br><br>书目名称Agents and Artificial Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0151223<br><br> <br><br>
Infect
发表于 2025-3-21 20:19:29
Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent this information by transferring the important tasks to others in advance. The proposed novel negotiation method between agents is designed for this purpose based on the existing method for MACPP and can reduce the performance degradation caused by planned suspensions. A comparison with the convent
小虫
发表于 2025-3-22 01:17:41
Comparing Beta-VAE to WGAN-GP for Time Series Augmentation to Improve Classification Performancein classification accuracy of +0,722% when used in the 1-nearest neighbor algorithm, and +1,856% when used for training the MiniRocket. The use of WGAN-GP generated synthetic sets to train classifiers led to average increases in classification accuracy of +0,654% with the 1-nearest neighbor algorith
Lyme-disease
发表于 2025-3-22 05:47:49
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MEET
发表于 2025-3-22 11:38:54
Generating the Gopher’s Grounds: Form, Function, Order, and Alignmenter those that do not. Our findings are two-fold. First, we find that coherence (structure) is much harder to achieve than lethality (function) and that optimizing for one does not beget the other. Second, we find that agents with intention perception do not possess strong survival advantages when fa
plasma
发表于 2025-3-22 15:17:33
Domain Dependent Parameter Setting in SAT Solver Using Machine Learning Techniquesine learning approach that predicts the parameters of heuristic from the underlying structure of a graph derived from the input SAT instance. Using this approach we effectively fine tune the SAT solver for specific problem domain.
粗糙
发表于 2025-3-22 18:59:12
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frozen-shoulder
发表于 2025-3-23 00:22:14
Culture History and Convergent Evolution this information by transferring the important tasks to others in advance. The proposed novel negotiation method between agents is designed for this purpose based on the existing method for MACPP and can reduce the performance degradation caused by planned suspensions. A comparison with the convent
intelligible
发表于 2025-3-23 02:53:20
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特征
发表于 2025-3-23 06:46:03
Culture Paves The New Silk Roadss crucial. Multi-agent reinforcement learning methods are an apt choice for traffic signal control of large scale road networks as they can learn to perform predictive control actions that will reduce overall network congestion dynamically at scale. In this paper, we extend the work done in [.] to t