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自动化研究所 [12]

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	Real-time prediction of rockburst intensity using an integrated CNN-Adam-BO algorithm based on microseismic data and its engineering application 期刊论文 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2021, 卷号: 117, 页码: 21 作者: Yin, Xin; Liu, Quansheng; Huang, Xing; Pan, Yucong 收藏 \| 浏览/下载：44/0 \| 提交时间：2021/10/27 Rockburst prediction Microseismic data Convolutional neural network Adaptive moment estimation optimization Bayes optimization
	Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10 作者: Ye, Peijun; Chen, Yuanyuan; Zhu, Fenghua; Lv, Yisheng; Lu, Wanze 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/01/27 Calibration Computational modeling Mathematical model Machine learning Aggregates Optimization Bayes methods Agent-based model (ABM) calibration Markovian process
	Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032 作者: Yin, Lin; Wang, Kun; Tong, Tong; An, Yu; Meng, Hui 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/08/03 Image reconstruction Bayes methods Tumors Inverse problems Light sources Tomography Morphology Bioluminescence tomography (BLT) block sparse Bayesian learning morphology recovery
	Bayesian Automatic Model Compression 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736 作者: Wang, Jiaxing; Bai, Haoli; Wu, Jiaxiang; Cheng, Jian 收藏 \| 浏览/下载：59/0 \| 提交时间：2020/12/04 Quantization automatic machine learning model compression Bayes methods Mathematical model Training Mixture models Optimization Machine learning Bayesian learning quantizartion explainability
	A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 947-956 作者: Chu, Fei; Dai, Bangwu; Ma, Xiaoping; Wang, Fuli; Ye, Bin 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/06/22 Predictive models Data models Adaptation models Process control Computational modeling Integrated circuit modeling Bayes methods Bayesian model averaging (BMA) minimum cost multimodel migration nonlinear performance prediction
	A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters 期刊论文 ADVANCES IN WATER RESOURCES, 2018, 卷号: 114, 页码: 164-179 作者: Zhu, Gaofeng; Li, Xin; Ma, Jinzhu; Wang, Yunquan; Liu, Shaomin 收藏 \| 浏览/下载：59/0 \| 提交时间：2019/10/09 Sequential Monte Carlo Genetic algorithm Bayes Parameter optimization Hydrolic models MCMC
	An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization 期刊论文 IEEE Transactions on Knowledge and Data Engineering, 2018 作者: Yang, Zhou; Sun, Heli; Huang, Jianbin; Sun, Zhongbin; Xiong, Hui 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/26 Bayes method Markov model Markov Transition Matrices MAtrix multiplication State-of-the-art methods Task analysis Time and space complexity Transition probabilities
	Wikipedia-Based Entity Semantifying in Open Information Extraction 会议论文作者: Lu, Qiuhao; Du, Youtian 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 Bayes' theorem Knowledge base Maximum a posteriori Neighborhood graphs Optimization problems Prior information Prior probability Real-world entities
	(MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance 期刊论文 IEEE ACCESS, 2018, 卷号: 6, 页码: 15505-15520 作者: Wang, Kunfeng; Gou, Chao; Wang, Fei-Yue 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/10/10 Change Detection Multimodal Background Multi-view Learning Conditional Independence Markov Random Field
	Updated Bayes identification of displacement constants of curve indeterminate box girder with variable scale theory 期刊论文 ADVANCES IN MECHANICAL ENGINEERING, 2018, 卷号: 10, 期号: 12 作者: Cheng Xi; Zhang Jian; Jia Chao; Tian Jiawei 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/11 Updated Bayes theory curve indeterminate box girder identification variable-scale optimization theory displacement constants

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