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Titlebook: Intelligent Computing Theories and Application; 15th International C De-Shuang Huang,Kang-Hyun Jo,Zhi-Kai Huang Conference proceedings 2019

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書目名稱Intelligent Computing Theories and Application
副標(biāo)題15th International C
編輯De-Shuang Huang,Kang-Hyun Jo,Zhi-Kai Huang
視頻videohttp://file.papertrans.cn/470/469487/469487.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Intelligent Computing Theories and Application; 15th International C De-Shuang Huang,Kang-Hyun Jo,Zhi-Kai Huang Conference proceedings 2019
描述This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions..The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; bioinformatics; classification; clustering; computer networks; computer vision; c
版次1
doihttps://doi.org/10.1007/978-3-030-26969-2
isbn_softcover978-3-030-26968-5
isbn_ebook978-3-030-26969-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469487.jpg
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A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment,erated on two benchmarks, i.e., OX-Bench and BAliBASE. Experiments show that, NBPSO-MSA outperforms other 12 state-of-the art aligners in accuracy, the trajectories of particles show that, diversity index and mutation help multi-swarm NBPSO jump out of local optima and lead to rapid convergence.
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A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolioesigned to improve the solutions obtained in the initialization stage and the search process, respectively. The proposed decomposition-based hybrid EDA (DHEDA) is tested on real-world datasets and compared with an existing algorithm. Numerical results demonstrate the effectiveness and efficiency of
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A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs,ombine the calculated scores with the potential negative interactions to get the final correlation scores. We conduct comprehensive experiments including 5-fold cross validation (5-fold CV) and leave-one-out cross validation (LOOCV) to indicate that our framework has some advantages including improv
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