APPARATUS AND METHOD FOR AUTHENTICATING TIME-VARYING SIGNAL IN ONLINE VIA KERNEL REGRESSION MODEL

• 1. 使用音频信号水平的随时间变化的估计概率密度的随时间变化的音频信号水平 [P] . 中国专利： CN101743689A . 2010-06-16
• 2. 用于平滑信号的随时间变化的水平的方法和装置 [P] . 中国专利： CN101743689B . 2013.04.10
• 3. APPARATUS AND METHOD FOR AUTHENTICATING TIME-VARYING SIGNAL IN ONLINE VIA KERNEL REGRESSION MODEL [P] . 韩国专利： KR20180115448A . 2018-10-23

  机译： 通过核回归模型在线认证随时间变化的信号的装置和方法

• 4. APPARATUS AND METHOD FOR ONLINE SIGNAL DATA VALIDATION VIA AUTO ASSOCIATIVE BILATERAL KERNEL REGRESSION [P] . 韩国专利： KR20200080798A . 2020-07-07

  机译： 通过自动关联双核回归进行在线信号数据验证的设备和方法

• 5. APPARATUS AND METHOD FOR ONLINE SIGNAL DATA VALIDATION VIA AUTO ASSOCIATIVE BILATERAL KERNEL REGRESSION [P] . 韩国专利： KR1020200080798A . 2020.07.07

• 1. Variable Selection in Finite Mixture of Time-Varying Regression Models [J] . Jing Liu, Wanzhou Ye 理论数学进展（英文） . 2020,第003期
• 2. Online complex nonlinear industrial process operating optimality assessment using modified robust total kernel partial M-regression [J] . Fei Chu, Wei Dai, Jian Shen, 中国化学工程学报（英文版） . 2018,第004期
• 3. Performance analysis of empirical models for predicting rock mass deformation modulus using regression and Bayesian methods [J] . Adeyemi Emman Aladejare, Musa Adebayo Idris 岩石力学与岩土工程学报（英文版） . 2020,第006期
• 4. A novel online adaptive kernel method with kernel centers determined by a support vector regression approach [J] . L.G. Sun, C.C. de Visser, Q.P. Chu, Neurocomputing . 2014,第jana26期
• 5. Modeling the health effects of time-varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression [J] . Liu Shelley H., Bobb Jennifer F., Henn Birgit Claus, Environmetrics . 2018,第4期
• 6. Characterization and utilization of noisy displacement signals from simple shear device using linear and kernel regression methods [J] . Eric Yee, Jonathan P. Stewart, Frederic P. Schoenberg Soil Dynamics and Earthquake Engineering . 2011,第1期
• 7. Online Learning Algorithm for LSSVM Based Modeling with Time-varying Kernels [C] . Weijian Kong, Jinliang Ding IFAC International Symposium on Advanced Control of Chemical Processes . 2018
• 8. Locally adaptive kernel regression methods for multi-dimensional signal processing. [D] . Takeda, Hiroyuki. 2010
• 9. Multiobjective Optimization for Model Selection in Kernel Methods in Regression [O] . Di You, C. Fabian Benitez-Quiroz, Aleix M. Martinez -1
• 10. "A Karnel Regression of Phillips' Data" Abstract: Economists have assumed that the Phillips curve, which shows a positive (negative) relation between inflation and the output ratio (unemployment rate), may be mapped off the aggregate demand -aggregate supply apparatus. The paper shows that the Phillips curve requires that unlikely restrictions be put on the form of the aggregate supply and aggregate demand curves. In this case, it is inappropriate to treat data on inflation and capacity utilization as the basis for estimating an underlying formal model. The paper therefore uses a nonparametric, data-driven method to describe the data. This method, of kernel regression, shows the inflation-unemployment association in Phillips's sample to be negative on a global scale, yet irregular within particular ranges of unemployment. [O] . Nancy J. Wulwick, Y.P. Mack 100

• 1. Marginal Distribution Plots for Proportional Hazards Models with Time-Dependent Covariates or Time-Varying Regression Coefficients [J] . Qiqing Yu ,Junyi Dong ,George Wong . 统计学期刊（英文） . 2017,第1期
• 2. Minimax designs for linear regression models with bias in a reproducing kernel Hilbert space in a discrete set [J] . ZHOU Xiao-dong ,YUE Rong-xian . 高校应用数学学报B辑 . 2015,第003期
• 3. 开发新认证产品采用新认证方法——CRAA认证中心开展“空气-空气能量回收装置”认证 [C] . 郭勇 ,赵丽霞 . 第五届中国制冷空调行业信息大会暨推进HCFCs加速淘汰国际论坛 . 2010
• 4. 电子商务身份认证模型的分析研究--PKI域间认证方法与研究 [A] . 张国瑜 . 2007