机译:贝叶斯压缩感知的复杂模型降维
Sandia National Laboratories, 7011 East Avenue, MS 9051, Livermore, California 94550, USA;
Sandia National Laboratories, 7011 East Avenue, MS 9051, Livermore, California 94550, USA;
Sandia National Laboratories, 7011 East Avenue, MS 9051, Livermore, California 94550, USA;
Sandia National Laboratories, 7011 East Avenue, MS 9051, Livermore, California 94550, USA;
Oak Ridge National Laboratory, 1 Bethel Valley Road, MS 6301, Oak Ridge, Tennessee 37831, USA;
Oak Ridge National Laboratory, 1 Bethel Valley Road, MS 6301, Oak Ridge, Tennessee 37831, USA;
uncertainty quantification; surrogate model; Bayesian inference; compressive sensing; classification; polynomial chaos; community land model;
机译:计算力学中压缩感测的一些应用:模型顺序减少,歧管学习,数据驱动应用和非线性维度减少
机译:贝叶斯压缩感知的四维SAR成像算法
机译:基于三维射频的贝叶斯压缩感知车辆定位方法
机译:基于加权L1-范数罚分和贝叶斯压缩感知策略的可分离观测模型的二维DOA估计
机译:高维复杂数据中的变量选择和约化子空间的贝叶斯估计
机译:关于机器学习模型的应用用于预测混凝土压缩强度:维度降低对模型性能的影响
机译:计算力学中压缩感测的一些应用:模型顺序减少,歧管学习,数据驱动应用和非线性维度减少