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Titlebook: Intelligent Computing Theories and Application; 13th International C De-Shuang Huang,Kang-Hyun Jo,Juan Carlos Figueroa- Conference proceedi

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书目名称Intelligent Computing Theories and Application
副标题13th International C
编辑De-Shuang Huang,Kang-Hyun Jo,Juan Carlos Figueroa-
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Computing Theories and Application; 13th International C De-Shuang Huang,Kang-Hyun Jo,Juan Carlos Figueroa- Conference proceedi
描述.​This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. .The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. This second volume of the set comprises 74 papers. The papers are organized in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and Methods; Genetic Algorithms; Blind Source Separation; Intelligent Fault Diagnosis; Machine Learning; Knowledge Discovery and Data Mining; Gene Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational Biology; Computational Genomics; Computational Proteomics; Gene Regulation Modeling and Analysis; SNPs and Haplotype Analysis; Protein-Protein Interaction Prediction; Protein Structure and Function Prediction; Next-Gen Sequencing and Metagenomics; Structure Prediction and Folding; Biomarker Discovery; Applications of Machine Learning Techn
出版日期Conference proceedings 2017
关键词biological networks; computer vision; ensemble methods; kernel methods; neural networks; artificial intel
版次1
doihttps://doi.org/10.1007/978-3-319-63312-1
isbn_softcover978-3-319-63311-4
isbn_ebook978-3-319-63312-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469481.jpg
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Generalized Cubic Hermite Interpolation Based on Perturbed , Approximationite interpolation of . points and study its barycentric form. Numerical example is given to show the effectiveness of our method. Finally, we further generalize the proposed method to generalized cubic Hermite interpolation based on perturbed Chebyshev-. approximation.
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https://doi.org/10.1007/978-3-319-63312-1biological networks; computer vision; ensemble methods; kernel methods; neural networks; artificial intel
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Benchmarking and Evaluating MATLAB Derivative-Free Optimisers for Single-Objective Applicationsttern search (PS) and Powell’s conjugate search. The five benchmarks presented in this paper exceed those that have been reported in the literature. Four benchmark problems widely adopted in assessing evolutionary algorithms are employed. Under MATLAB’s default settings, it is found that the numeric
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