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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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发表于 2025-3-21 18:23:55 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence and Soft Computing
期刊简称11th International C
影响因子2023Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad
视频video
发行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings
影响因子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.
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发表于 2025-3-21 21:24:30 | 显示全部楼层
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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