中国科学院机构知识库网格系统: 检索

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	Continuous time hidden Markov model for longitudinal data 期刊论文 OAI收割 JOURNAL OF MULTIVARIATE ANALYSIS, 2020, 卷号: 179, 页码: 16 作者: Zhou, Jie; Song, Xinyuan; Sun, Liuquan \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2020/09/23 Continuous-time HMMs Longitudinal data ML estimator Unknown number of hidden states SCAD penalty
	Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809 作者: Luo, Xin; Wu, Hao; Yuan, Huaqiang; Zhou, MengChu \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2020/08/24 Quality of service Hidden Markov models Data models Training Web services Time factors Latent factor analysis (LFA) latent factorization of tensor learning temporal pattern linear bias (LB) non-negative latent factorization of tensor non-negativity constraint quality-of-service (QoS) prediction
	HMMs based masquerade detection for network security on with parallel computing 期刊论文 OAI收割 COMPUTER COMMUNICATIONS, 2020, 卷号: 156, 页码: 168-173 作者: Liu, Jia; Duan, Miyi; Li, Wenfa; Tian, Xinguang \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/12/10 Masquerade detection Shell command Anomaly detection Hidden Markov model
	On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks 期刊论文 OAI收割 ENERGY ECONOMICS, 2020, 卷号: 89 作者: Luo, Jiawen; Ji, Qiang; Klein, Tony; Todorova, Neda; Zhang, Dayong \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/01/16
	A method for degradation prediction based on Hidden Semi-Markov models with mixture of Kernels 期刊论文 OAI收割 Computers in Industry, 2020, 卷号: 122, 页码: 1-13 作者: Yang TJ(杨天吉); Zheng ZY(郑泽宇); Qi L(亓亮) \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/08/29 Prognostics and health management Remaining useful lifetime Hidden semi-Markov models Kernel method approximationa