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Application of Bayesian Active Learning to the Estimation of Auditory Filter Shapes Using the Notched-Noise Method

机译：贝叶斯主动学习在使用缺口噪声法测定听觉过滤形状的估计

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Josef Schlittenlacher; Richard E. Turner; Brian C. J. Moore;
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1. Application of Bayesian Active Learning to the Estimation of Auditory Filter Shapes Using the Notched-Noise Method [J] . Josef Schlittenlacher, Richard E. Turner, Brian C. J. Moore Trends in Hearing . 2020,第1期

机译：贝叶斯主动学习在使用缺口噪声法测定听觉过滤形状的估计
2. A Sparse Bayesian Learning-Based DOA Estimation Method With the Kalman Filter in MIMO Radar [J] . Progress in Artificial Intelligence . 2020,第2期

机译：基于稀疏的贝叶斯学习的DOA估计方法，MIMO雷达中的卡尔曼滤波器
3. Letter:Application of the Active Learning Method for the estimation of geophysical variables in the Caspian Sea from satellite ocean colour [J] . H. TAHERI SHAHRAIYNI, M. SCHAALE, F. FELL, International journal of remote sensing . 2007,第19a20期

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4. Particle Filter Estimation Method of Parameters Time-varying Discrete Dynamic Bayesian Network with application to UGV Decision-making [C] . Yingjie Wu, Jie Li CAA International Conference on Vehicular Control and Intelligence . 2020

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5. Use of Bayesian Filtering and Adaptive Learning Methods to Improve the Detection and Estimation of Pathological and Neurological Disorders [D] . Maurer, Alexander Joseph. 2016

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6. Application of Bayesian Active Learning to the Estimation of Auditory Filter Shapes Using the Notched-Noise Method [O] . Josef Schlittenlacher, Richard E. Turner, Brian C. J. Moore 2020

机译：贝叶斯主动学习在使用缺口噪声法测定听觉过滤形状的估计
7. A Sparse Bayesian Learning-Based DOA Estimation Method With the Kalman Filter in MIMO Radar [O] . Song Liu, Lan Tang, Yechao Bai, 2020

机译：一种稀疏的贝叶斯学习的DOA估计方法，MIMO雷达中的卡尔曼滤波器

Application of Bayesian Active Learning to the Estimation of Auditory Filter Shapes Using the Notched-Noise Method

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