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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書(shū)目名稱Agents and Artificial Intelligence影響因子(影響力)




書(shū)目名稱Agents and Artificial Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱Agents and Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Agents and Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Agents and Artificial Intelligence被引頻次




書(shū)目名稱Agents and Artificial Intelligence被引頻次學(xué)科排名




書(shū)目名稱Agents and Artificial Intelligence年度引用




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書(shū)目名稱Agents and Artificial Intelligence讀者反饋




書(shū)目名稱Agents and Artificial Intelligence讀者反饋學(xué)科排名

CAMP

改變

CLIFF

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.

系列

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.

sperse

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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Parabola

含水層

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