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湖南大学 [108]

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	Inferring MicroRNA Targets Based on Restricted Boltzmann Machines 期刊论文 IEEE Journal of Biomedical and Health Informatics, 2019, 卷号: Vol.23 No.1, 页码: 427-436 作者: Ying Liu; Jiawei Luo; Pingjian Ding 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/13 Predictive models Informatics Support vector machines Optimization Transforms Diseases Computer science Restricted Boltzmann machines microRNA target prediction ensemble method
	Superpixel Tensor Model for Spatial–Spectral Classification of Remote Sensing Images 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4705-4719 作者: Yanfeng Gu; Tianzhu Liu; Jun Li 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/13 Feature extraction Remote sensing Kernel Task analysis Algebra Support vector machines Extended morphological profile (EMAP) remote sensing images spatial–spectral classification superpixel tensor
	Behavior and functional modeling methods of doubly salient electromagnetic generators for aircraft Electrical Power System applications 期刊论文 Chinese Journal of Aeronautics, 2019 作者: Yanwu XU; Zhuoran ZHANG; Li YU; Yuke SHI 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/13 Behavior modeling Doubly salient electromagnetic machine Functional models Non-linear analysis Support vector machines
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/13 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Bing Tu; Xiaofei Zhang; Xudong Kang; Guoyun Zhang; Shutao Li 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/13 Noise measurement Training Clustering algorithms Hyperspectral imaging Labeling Support vector machines Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 5085-5097 作者: Bing Tu; Xiaofei Zhang; Xudong Kang; Jinping Wang; Jón Atli Benediktsson 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/13 Noise measurement Training Correlation Clustering algorithms Hyperspectral imaging Labeling Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/13 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training
	Comparative study of HDMRs and other popular metamodeling techniques for high dimensional problems. 期刊论文 Structural & Multidisciplinary Optimization, 2019, 卷号: Vol.59 No.1, 页码: 21-42 作者: Chen, LM; Wang, H; Ye, F; Hu, W 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/12/13 HIGH-dimensional model representation MATHEMATICAL optimization COMPARATIVE studies RADIAL basis functions SUPPORT vector machines *GAUSSIAN function
	Correlation between 13C NMR chemical shifts and complete sets of descriptors of natural coumarin derivatives. 期刊论文 Chemometrics & Intelligent Laboratory Systems, 2019, 卷号: Vol.184, 页码: 167-174 作者: Yu, XL; Xu, LS; Zhu, YL; Lu, S; Dang, LM 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/13 COUMARIN derivatives CARBON isotopes SUPPORT vector machines NUCLEAR magnetic resonance spectroscopy CORRELATION (Statistics)
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/17 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training

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