机译:概率模型通过变分贝叶斯推论和自适应高斯过程建模更新
Beijing Univ Technol Minist Educ Key Lab Urban Secur & Disaster Engn Beijing Peoples R China;
Curtin Univ Sch Civil & Mech Engn Ctr Infrastruct Monitoring & Protect Kent St Bentley WA 6102 USA;
Curtin Univ Sch Civil & Mech Engn Ctr Infrastruct Monitoring & Protect Kent St Bentley WA 6102 USA;
Beijing Univ Technol Minist Educ Key Lab Urban Secur & Disaster Engn Beijing Peoples R China;
Beijing Univ Technol Minist Educ Key Lab Urban Secur & Disaster Engn Beijing Peoples R China;
Probabilistic model updating; Variational inference; Bayesian inference; Condition assessment; Damage detection;
机译:使用似然置信区和Dirichlet工艺Gaussian推理的Dirichlet工艺Gaussian混合模型的先前选择方法
机译:整合重叠的社区发现和角色分析:贝叶斯概率生成建模和均值场变异推理
机译:大规模贝叶斯线性模型中的推理的凹高斯变分近似
机译:通过变分贝叶斯推理进行稀疏恢复:比较伯努利斯-高斯人-反伽马和高斯人-反伽马建模
机译:MIMO-OFDM系统接收机设计中的概率图形模型和变分贝叶斯推理。
机译:基于高斯过程的随机流行病模型的贝叶斯非参数推断
机译:潜在高斯模型中贝叶斯推断的变分算法