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Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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發(fā)表于 2025-3-21 18:23:55 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence and Soft Computing
期刊簡稱11th International C
影響因子2023Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad
視頻videohttp://file.papertrans.cn/163/162303/162303.mp4
發(fā)行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings
影響因子The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.
Pindex Conference proceedings 2012
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書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)




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發(fā)表于 2025-3-21 21:24:30 | 只看該作者
0302-9743 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organi
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https://doi.org/10.1007/978-3-658-28464-0er focuses on general pruning methods which can be successfully applied for arbitrary classification method. Simple but efficient wrapper method based on generalization of Hart’s Condensed Nearest Neighbors rule is presented and impact of this method on classification quality is reported.
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https://doi.org/10.1007/978-3-658-37514-0 non-symmetric cost of misclassification events, and combining several weak classifiers (metalearning). We show that metalearning seems counter-productive if the goal is to enhance the recognition of a weak class, and that the method of choice would consist in combining boosting with the non-symmetric cost approach.
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Fast Plagiarism Detection by Sentence Hashing obtained demonstrate that the algorithm delivers solution faster than the alternatives. Its algorithmic complexity is logarithmic, thus its performance is better than most algorithms using dynamic programming used to find the longest common subsequence.
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