Titlebook: Emerging Intelligent Computing Technology and Applications; 8th International Co De-Shuang Huang,Phalguni Gupta,Prashan Premaratne Conferen

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,Themenbegründung und Forschungsansatz,er analyzing the dynamics of tranditioal PSO, this paper presents a new PSO variant based on local stochastic search strategy (LSSPSO) for performance enhancement. This is inspired by a social phenomenon that everyone wants to first exceed the nearest superior and then all superior. Specifically, LS

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,Nachhaltigkeitsbericht – Pflicht oder Kür?,criminant analysis (LDA) requires the within-class scatter matrix to be non-sigular, LDA cannot be directly applied to SSS problems. In this paper, regularized complete linear discriminant analysis (RCLDA) is proposed to solve SSS problems. RCLDA uses two regularized criterion to derive “regular” di

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https://doi.org/10.1007/978-3-658-39525-4vel approach of multiple kernel learning for clustering based on the kernel k-means algorithm. Rather than using a convex combination of multiple kernels over the whole input space, our method associates to each cluster a localized kernel. We assign to each cluster a weight vector for feature select

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,Virtual Companies—Beyond the Hype,served as. to conduct ICA to converge to the local extreme point related to a desired IC. There are two methods can perform ICA using reference signal, namely ICA with reference (ICA-R) and fast ICA with reference signal (FICAR). In this paper, we present a comparative assessment of the two methods

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Johanna Weselek,Alexander Siegmundeither only one best ant is allowed to release pheromone, or all the ants are allowed to lay pheromone in the same way. To make full use of ants to explore high quality routes, a fuzzy pheromone laying mechanism is proposed in the paper. The amount of ants that are allowed to lay pheromone varies at

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