Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier by Tao Yang

Subjects: “…multiple kernel learning…”
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An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm by Zhifang Liao, Le Gao, Tian Zhou, Xiaoping Fan, Yan Zhang, Jinsong Wu

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Dual-Path Large Kernel Learning and Its Applications in Single-Image Super-Resolution by Zhen Su, Mang Sun, He Jiang, Xiang Ma, Rui Zhang, Chen Lv, Qiqi Kou, Deqiang Cheng

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Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome by Weirong Xue, Bing Xu, Hui Wang, Xiaoxiao Zhu, Jiajia Qin, Guangshuang Zhou, Peilin Yu, Shengli Li, Yingliang Jin

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DTI-RME: a robust and multi-kernel ensemble approach for drug-target interaction prediction by Yuqing Qian, Xin Zhang, Yizheng Wang, Quan Zou, Chen Cao, Yijie Ding, Xiaoyi Guo

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Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants by Manon Vuillien, Davide Adamo, Emmanuelle Vila, Amane Agraw, Thierry Argant, Daniel Helmer, Marjan Mashkour, Abdelkader Moussous, Olivier Notter, Elena Rossoni-Notter, Isabelle Théry, Marco Corneli

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An Incremental Regularization Kernel Randomized Neural Network for Electrical Energy Output Prediction in Combined Cycle Power Plant by Xinlei Li, Henggong Yue, Fei Li, Zerui Yun, Zhenzhou Li, Yongjie Liu, Wei Shi, Yang Liu

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Leveraging real-time data analysis and multiple kernel learning for manufacturing of innovative steels by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

Subjects: “…Simple and efficient multiple kernel learning (SEMKL)…”
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