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Titlebook: Agents and Artificial Intelligence; 12th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2021 Springer

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期刊全稱Agents and Artificial Intelligence
期刊簡稱12th International C
影響因子2023Ana Paula Rocha,Luc Steels,Jaap van den Herik
視頻videohttp://file.papertrans.cn/152/151225/151225.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Agents and Artificial Intelligence; 12th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2021 Springer
影響因子.This book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020...Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence..
Pindex Conference proceedings 2021
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Shengyu Jian,Xin Chen,Jiaping Yanithms are trained with imbalanced data. Using an actual shill bidding dataset, we assess the performance of several hybrid models of CSL and SSC and then compare their misclassification error and accuracy rates statistically. The most efficient CSL+SSC model was able to detect 99% of fraudsters and with the lowest total cost.
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Meeko Kuwahara,Hiroki Takagi,Masaki Hayashidriven approach for the development of large numbers of schemas. Our empirical evaluation suggests that our developed system, which blends the advantages of Machine Learning and Natural Language Processing, is able to automatically develop Winograd schemas autonomously, or considerably help humans in the development task.
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https://doi.org/10.1007/978-3-031-61147-6 for planning applications. Our experiments show that the technique is competitive with state-of-the-art domain-independent heuristic. We also introduce a theoretical framework to formally analyze behaviour of learned heuristics. We state and prove several theorems that establish bounds on the worst-case performance of learned heuristics.
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