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Evaluation on benchmark problems
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The proposed algorithm utilizes the migration method to identify local extremes and then relocates the population to explore new solution spaces for further evolution. The MIMEM algorithm is evaluated on the iMOPSE benchmark dataset, and the results demonstrate that it outperforms.
8p
visystrom
22-11-2023
8
3
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Dictionary learning (DL) for sparse coding has been widely applied in the field of computer vision. Many DL approaches have been developed recently to solve pattern classification problems and have achieved promising performance. In this paper, to improve the discriminability of the popular dictionary pair learning (DPL) algorithm, we propose a new method called discriminative dictionary pair learning (DDPL) for image classification.
17p
nguaconbaynhay11
07-04-2021
10
1
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Many problems in bioinformatics involve classification based on features such as sequence, structure or morphology. Given multiple classifiers, two crucial questions arise: how does their performance compare, and how can they best be combined to produce a better classifier? A classifier can be evaluated in terms of sensitivity and specificity using benchmark, or gold standard, data, that is, data for which the true classification is known.
11p
viwyoming2711
16-12-2020
11
0
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In this paper, we present a novel global protein-protein interaction network alignment algorithm, which is enhanced with an extended large neighborhood search heuristics. Evaluated on benchmark datasets of yeast, fly, human and worm, the proposed algorithm outperforms state-of-the-art algorithms. Furthermore, the complexity of ours is polynomial, thus being scalable to large biological networks in practice.
11p
tamynhan4
06-09-2020
13
3
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In this paper, the formulation of a new six-node solid–shell element denoted (SHB6) is proposed. This prismatic element is based on a purely three-dimensional approach, and hence has displacements as the only degrees of freedom. A reduced integration scheme is adopted consisting of one-point in-plane quadrature and an arbitrary number of integration points, with a minimum number of two, distributed along the ‘thickness’ direction.
14p
thienthanquydu
23-10-2018
15
0
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