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科研机构

清华大学 [2]

新疆理化技术研究所 [2]

安徽大学 [2]

北京大学 [1]

自动化研究所 [1]

中南大学 [1]

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期刊论文 [13]

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	Concentration-Emission Matrix (CEM) Spectroscopy Combined with GA-SVM: An Analytical Method to Recognize Oil Species in Marine 期刊论文 MOLECULES, 2020, 卷号: 25 作者: Chen, Yunan; Yang, Ruifang; Zhao, Nanjing; Zhu, Wei; Chen, Xiaowei 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/12/28 concentration-emission matrix PCA genic algorithm SVM oil species recognition
	A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 10, 页码: 1733-1740 作者: Yang, Jianli; Bai, Yang; Lin, Feng; Liu, Ming; Hou, Zengguang 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/12/16 Stacked Sparse Auto-encoders Ecg Arrhythmia Classification Feature Extraction Softmax Regression
	Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles 期刊论文 INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES, 2018, 卷号: 14, 期号: 8, 页码: 983-991 作者: Wang, YB (Wang, Yan-Bin); You, ZH (You, Zhu-Hong); Li, LP (Li, Li-Ping); Huang, DS (Huang, De-Shuang); Zhou, FF (Zhou, Feng-Feng) 收藏 \| 浏览/下载：34/0 \| 提交时间：2018/07/16 Deep Learning Zernike Moments Probabilistic Classification Vector Machines
	Identification and Analysis of Cancer Diagnosis Using Probabilistic Classification Vector Machines with Feature Selection 期刊论文 CURRENT BIOINFORMATICS, 2018, 卷号: Vol.13 No.6, 页码: 625-632 作者: Li, Wen; Yan, Yuanting; Li, Xinrui; Du, Xiuquan; Zhang, Yanping 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/04/24 Probabilistic classification vector feature selection tumor classification DX machine learning kernel function
	PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences 期刊论文 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 卷号: 18, 期号: 5 作者: Wang, YB (Wang, Yanbin); You, ZH (You, Zhuhong); Li, X (Li, Xiao); Chen, X (Chen, Xing); Jiang, TH (Jiang, Tonghai) 收藏 \| 浏览/下载：28/0 \| 提交时间：2017/09/26 Proteins Position-specific Scoring Matrix Probabilistic Classification Vector Machines
	PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences 期刊论文 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 卷号: 18, 期号: 5 作者: Wang, Yanbin[1]; You, Zhuhong[2]; Li, Xiao[3]; Chen, Xing[4]; Jiang, Tonghai[5] 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/23 proteins position-specific scoring matrix probabilistic classification vector machines
	From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2017, 卷号: Vol.55 No.8, 页码: 4398-4411 作者: Lu, T; Li, ST; Fang, LY; Jia, XP; Benediktsson, JA 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/31 Feature extraction Hyperspectral imaging Support vector machines Data mining Geometry Probabilistic logic Decision fusion feature fusion hyperspectral image (HSI) classification pixel subpixel superpixel
	Probabilistic support vector machines for classification of noise affected data 期刊论文 Information Sciences, 2013, 卷号: 221, 页码: 60-71 作者: Li, Han-Xiong*; Yang, Jing-Lin; Zhang, Geng; Fan, Bi 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/03 SVM Classification PCA based sampling Probabilistic distribution
	Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis 期刊论文 BMC Bioinformatics, 2013, 卷号: Vol.14 Suppl 8, 页码: S10 作者: Wang,Bing; Xia,Junfeng; You,Zhu-Hong; Zhu,Lin; Lei,Ying-Ke 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/04/22 PROBABILISTIC NEURAL-NETWORKS SUPPORT VECTOR MACHINE SACCHAROMYCES-CEREVISIAE TUMOR CLASSIFICATION INFORMATION COMPLEXES HYPERPLANES
	Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction 期刊论文 ieee transactions on systems man and cybernetics part b-cybernetics, 2011, 卷号: 41, 期号: 2, 页码: 425-434 作者: Gao, Xinbo; Wang, Xiumei; Tao, Dacheng; Li, Xuelong 收藏 \| 浏览/下载：188/68 \| 提交时间：2011/01/12 Dimensionality reduction Gaussian process latent variable model (GP-LVM) generalized discriminant analysis (GDA) probabilistic principal component analysis (probabilistic PCA) supervised learning

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