belief networks; data privacy; active time index; deterministic likelihood-ratio test; eavesdropper; eavesdropping; finite time-horizon assumption; hypothesis realization; minimal privacy-concerned Bayesian risk; optimal distributed sequential detection design; optimal privacy-concerned system design; parallel distributed sequential detections; privacy risk; privacy-concerned parallel distributed Bayesian sequential detection problem; remote decision maker; Bayes methods; Indexes; Light rail systems; Measurement; Optimization; Privacy; Standards; dynamic programming; eavesdropper; person-by-person optimization; physical-layer secrecy;
机译:具有相变变化时间和非线性惩罚的贝叶斯顺序检测— POMDP格编程方法
机译:序贯近似贝叶斯计算算法的最优并行化
机译:贝叶斯模型更新的矢量化与分布式并行化基于多元复合概率模型的频率响应函数
机译:隐私关系平行分布式贝叶斯序列检测
机译:改进的顺序和并行设计以及八向Prewitt边缘检测的实现。
机译:基于低秩稀疏表示的分布式并行高光谱图像异常检测算法
机译:相位分布变化时间和贝叶斯序列检测 非线性惩罚 - 一种pOmDp方法