Results 11 to 20 of about 354,374 (221)
MKL-SVM algorithm for pulmonary nodule recognition based on swarm intelligence optimization
工程科学学报, 2021 To solve the problem that a single kernel learning support vector machine (SVM) cannot consider the learning and generalization abilities and parameter optimization of the multiple kernel function, a multiple kernel learning support vector machine (MKL ...
Yang LI, Jia-yue CHANG, Yu-yang WANG
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ℓ
IEEE Access, 2020 Existing multiple kernel learning (MKL) algorithms indiscriminately apply the same set of kernel combination weights to all samples by pre-specifying a group of base kernels.
Qiang Wang, Xinwang Liu, Jiaqing Xu
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A Semi-Supervised 3D Indoor Localization Using Multi-Kernel Learning for WiFi Networks
Sensors, 2022 Indoor localization is an important issue for indoor location-based services. As opposed to the other indoor localization approaches, the radio frequency (RF) based approaches are low-energy solutions with simple implementation.
Yuh-Shyan Chen +2 more
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Calpain cleavage prediction using multiple kernel learning. [PDF]
PLoS ONE, 2011 Calpain, an intracellular Ca²⁺-dependent cysteine protease, is known to play a role in a wide range of metabolic pathways through limited proteolysis of its substrates.
David A DuVerle +3 more
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Kernel learning for ligand-based virtual screening: discovery of a new PPARgamma agonist [PDF]
, 2010 Poster presentation at 5th German Conference on Cheminformatics: 23. CIC-Workshop Goslar, Germany. 8-10 November 2009 We demonstrate the theoretical and practical application of modern kernel-based machine learning methods to ligand-based virtual ...
Hansen, Katja +9 more
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Per-Sample Multiple Kernel Approach for Visual Concept Learning
EURASIP Journal on Image and Video Processing, 2010 Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in visual concept learning.
Tian Yonghong +4 more
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Multiple Kernel
IEEE Access, 2021 Multiple kernel clustering algorithms achieve promising performances by exploring the complementary information from kernel matrices corresponding to each data view.
Qiyuan Ou, Long Gao, En Zhu
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A Unifying View of Multiple Kernel Learning [PDF]
, 2010 Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies.
A. Rakotomamonjy +13 more
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Research on an improved lp-RWMKE-ELM fault diagnosis model
工程科学学报, 2022 As the service time of military equipment increases, equipment failure data is continuously accumulated during events such as routine maintenance, training, and combat readiness exercises, and the data presented is often imbalanced to varying degrees and
Xing LIU +3 more
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Multiple Kernel SVM Based on Two-Stage Learning
IEEE Access, 2020 In this paper we introduce the idea of two-stage learning for multiple kernel SVM (MKSVM) and present a new MKSVM algorithm based on two-stage learning (MKSVM-TSL). The first stage is the pre-learning and its aim is to obtain the information of data such
Xingrui Gong +5 more
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