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西安交通大学 [247]

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期刊论文 [163]

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	Rotated hyperbola model for smooth support vector machine for classification 期刊论文 Journal of China Universities of Posts and Telecommunications, 2018, 卷号: 25, 页码: 48-55 作者: En, Wang 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/19 Approximation properties Data classification High-dimensional Hyperbola functions Non-differentiable Objective functions Smooth support vector machine Statistical learning theory
	A Conservative Prediction Model of Power System Transient StabilityJun 会议论文作者: Liu, Jun; Wang, Xu; Sun, Huiwen; Zhao, Hongyan; Cheng, Lin 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/19 Ensemble Learning Power System Transient Stability Support Vector Machine Conservative Prediction
	A new smooth method based on rotated hyperbola for support vector machine in classification 会议论文作者: Wang, En 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/11/19 Approximation properties High-dimensional Typical model
	Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2018, 卷号: 112, 页码: 388-400 作者: Wajid, Summrina Kanwal; Hussain, Amir; Huang, Kaizhu 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/19 Magnetic resonance imaging (MRI) Support vector machine (SVM) Extreme learning machine (ELM) Local energy-based shape histogram (LESH) Clinical decision support system (CDSS) Echo state network (ESN)
	One class support vector machine based filter for improving the classification accuracy of SSVEP BCI 会议论文作者: Sun, Gaopeng; Liu, Hui; Shi, Yanhua; Leng, Yue; Lin, Pan 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/11/19 Canonical correlation analysis Classification accuracy Correlation value Different time windows Maximum correlations One class-SVM One-class support vector machine Steady state visual evoked potentials
	Establishment of the Mathematical Model for PMI Estimation Using FTIR Spectroscopy and Data Mining Method]. 期刊论文 Fa yi xue za zhi, 2018, 卷号: 34, 页码: 1-6 作者: Wang L; Qin X C; Lin H C; Deng K F; Luo Y W 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/19 support vector machine rats data mining postmortem interval forensic pathology principal component analysis spectroscopy, Fourier transform infrared
	Hubs defined with participation coefficient metric altered following acute mTBI 会议论文作者: Wang, Xiaocui; Sun, Chuanzhu; Wang, Shan; Cao, Jieli; Xu, Hui 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/19 Support Vector Machine hub functional brain network mild traumatic brain injury participation coefficient
	A fuzzy support vector machine based on environmental membership and its application to motor fault classification 期刊论文 JVC/Journal of Vibration and Control, 2018, 卷号: 24, 页码: 5681-5692 作者: Bing, Li; Yilong, Liang; Wei, Cheng 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/19 Classification performance Classification rates Fuzzy membership Fuzzy support vector machine (FSVM) Fuzzy support vector machines K nearest neighbor algorithm Motor fault Reliability and robustness
	Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition 期刊论文 IEEE Transactions on Industrial Informatics, 2018 作者: Zhao, Chen; Kaicheng, Li; Li, Yuanzheng; Wang, Lingyun; Luo, Yi 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/19 Classification Computational modeling Discriminative Projection Electronic mail Extreme learning machine Feature extraction Multi-label Multiple power quality disturbance Neural networks Power quality Prediction algorithms Support vector machines Variational mode decomposition
	Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models 期刊论文 IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 761-769 作者: Xu, Xiaoping; Wang, Feng; Qian, Fucai 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/19 inverse problems signal processing higher order statistics parameter estimation nonlinear Wiener models stochastic processes inverse mapping first-order statistical property cyclostationary input signal blind identification method regression analysis support vector machine regression theory Gaussian random signal higher-order cumulants principle support vector machines

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