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Titlebook: Intelligent Information Processing and Web Mining; Proceedings of the I Mieczysław A. Kłopotek,Sławomir T. Wierzchoń,Krzys Conference proce

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Evolutionary Algorithm of Radial Basis Function Neural Networks and Its Application in Face Recognitduring training. The resulting RBFN behaves even more powerful and requires fewer nodes than other algorithms. Simulation results in face recognition show that the system achieves excellent performance both in terms of error rates of classification and learning efficiency.
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1867-5662 ón, June 2006This volume contains selected papers, presented at the international c- ference on Intelligent Information Processing and Web Mining Conference nd IIS:IIPWM’06, organized in Ustro? (Poland) on June 19-22 , 2006. The event was organized by the Institute of Computer Science of Polish Acad
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WFT – Context-Sensitive Speech Signal Representationrier transform (WFT), and proposal of it’s quality measures. The paper is divided into 5 sections, introducing as follows: phonetic-acoustic contextuality in speech, basics of WFT, WFT speech signal feature space, feature space quality measures and finally conclusion of our achievements.
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Adaptive Document Mapslt with within this paper. In a multi-stage process, incrementality of a document map is warranted.. The quality of map generation process has been investigated based on a number of clustering and classification measures. Conclusions concerning the impact of incremental, topic-sensitive approach on map quality are drawn.
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Faster Frequent Pattern Mining from the Semantic Web. A similar structure was used for frequent pattern discovery in classical and relational data mining settings giving significant gain in efficiency. Our approach is illustrated on the example ontology.
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