Статті в журналах з теми "Bayesian recovery"
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Zhao, Juan, Xia Bai, Tao Shan, and Ran Tao. "Block Sparse Bayesian Recovery with Correlated LSM Prior." Wireless Communications and Mobile Computing 2021 (October 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/9942694.
Повний текст джерелаCalvetti, D., and E. Somersalo. "Recovery of shapes: hypermodels and Bayesian learning." Journal of Physics: Conference Series 124 (July 1, 2008): 012014. http://dx.doi.org/10.1088/1742-6596/124/1/012014.
Повний текст джерелаGan, Wei, Lu-ping Xu, Zhe Su, and Hua Zhang. "Bayesian Hypothesis Testing Based Recovery for Compressed Sensing." Journal of Electronics & Information Technology 33, no. 11 (November 14, 2011): 2640–46. http://dx.doi.org/10.3724/sp.j.1146.2011.00151.
Повний текст джерелаLong, Zhen, Ce Zhu, Jiani Liu, and Yipeng Liu. "Bayesian Low Rank Tensor Ring for Image Recovery." IEEE Transactions on Image Processing 30 (2021): 3568–80. http://dx.doi.org/10.1109/tip.2021.3062195.
Повний текст джерелаKorki, Mehdi, Hadi Zayyani, and Jingxin Zhang. "Bayesian Hypothesis Testing for Block Sparse Signal Recovery." IEEE Communications Letters 20, no. 3 (March 2016): 494–97. http://dx.doi.org/10.1109/lcomm.2016.2518169.
Повний текст джерелаBrooks, S. P., E. A. Catchpole, B. J. T. Morgan, and S. C. Barry. "On the Bayesian Analysis of Ring-Recovery Data." Biometrics 56, no. 3 (September 2000): 951–56. http://dx.doi.org/10.1111/j.0006-341x.2000.00951.x.
Повний текст джерелаWang, Lu, Lifan Zhao, Guoan Bi, and Chunru Wan. "Hierarchical Sparse Signal Recovery by Variational Bayesian Inference." IEEE Signal Processing Letters 21, no. 1 (January 2014): 110–13. http://dx.doi.org/10.1109/lsp.2013.2292589.
Повний текст джерелаHuang, Kaide, Yao Guo, Xuemei Guo, and Guoli Wang. "Heterogeneous Bayesian compressive sensing for sparse signal recovery." IET Signal Processing 8, no. 9 (December 2014): 1009–17. http://dx.doi.org/10.1049/iet-spr.2013.0501.
Повний текст джерелаAhmed, Irfan, Aftab Khan, Nasir Ahmad, NasruMinallah, and Hazrat Ali. "Speech Signal Recovery Using Block Sparse Bayesian Learning." Arabian Journal for Science and Engineering 45, no. 3 (August 6, 2019): 1567–79. http://dx.doi.org/10.1007/s13369-019-04080-6.
Повний текст джерелаZhang, Shuanghui, Yongxiang Liu, Xiang Li, and Guoan Bi. "Variational Bayesian Sparse Signal Recovery With LSM Prior." IEEE Access 5 (2017): 26690–702. http://dx.doi.org/10.1109/access.2017.2765831.
Повний текст джерелаLI, Jia. "Joint Bayesian and Greedy Recovery for Compressive Sensing." Chinese Journal of Electronics 29, no. 5 (September 1, 2020): 945–51. http://dx.doi.org/10.1049/cje.2020.08.010.
Повний текст джерелаSun, Shouwang, Sheng Jiao, Qi Hu, Zhiwen Wang, Zili Xia, Youliang Ding, and Letian Yi. "Missing Structural Health Monitoring Data Recovery Based on Bayesian Matrix Factorization." Sustainability 15, no. 4 (February 6, 2023): 2951. http://dx.doi.org/10.3390/su15042951.
Повний текст джерелаZhanjun, Hao, Li Beibei, and Dang Xiaochao. "A Signal Recovery Method Based on Bayesian Compressive Sensing." Mathematical Problems in Engineering 2019 (February 11, 2019): 1–13. http://dx.doi.org/10.1155/2019/7235239.
Повний текст джерелаRouttenberg, Tirza. "Non-Bayesian Estimation Framework for Signal Recovery on Graphs." IEEE Transactions on Signal Processing 69 (2021): 1169–84. http://dx.doi.org/10.1109/tsp.2021.3054995.
Повний текст джерелаRajeshwari, T., and C. Thangamani. "Attack Impact Discovery and Recovery with Dynamic Bayesian Networks." Asian Journal of Computer Science and Technology 8, S1 (February 5, 2019): 74–79. http://dx.doi.org/10.51983/ajcst-2019.8.s1.1953.
Повний текст джерелаAlmond, Russell, Duanli Yan, and Lisa Hemat. "Parameter Recovery Studies With a Diagnostic Bayesian Network Model." Behaviormetrika 35, no. 2 (July 2008): 159–85. http://dx.doi.org/10.2333/bhmk.35.159.
Повний текст джерелаGiri, Ritwik, and Bhaskar Rao. "Learning Distributional Parameters for Adaptive Bayesian Sparse Signal Recovery." IEEE Computational Intelligence Magazine 11, no. 4 (November 2016): 14–23. http://dx.doi.org/10.1109/mci.2016.2601700.
Повний текст джерелаParlikad, Ajith Kumar, and Duncan McFarlane. "A Bayesian decision support system for vehicle component recovery." International Journal of Sustainable Manufacturing 1, no. 4 (2009): 415. http://dx.doi.org/10.1504/ijsm.2009.031362.
Повний текст джерелаWang, Lu, Lifan Zhao, Lei Yu, Jingjing Wang, and Guoan Bi. "Structured Bayesian learning for recovery of clustered sparse signal." Signal Processing 166 (January 2020): 107255. http://dx.doi.org/10.1016/j.sigpro.2019.107255.
Повний текст джерелаRazi, Abolfazl. "Bayesian Signal Recovery Under Measurement Matrix Uncertainty: Performance Analysis." IEEE Access 7 (2019): 102356–65. http://dx.doi.org/10.1109/access.2019.2930236.
Повний текст джерелаGong, Ting. "Bayesian sparse signal recovery based on log-Laplacian prior." Journal of Applied Remote Sensing 12, no. 04 (October 10, 2018): 1. http://dx.doi.org/10.1117/1.jrs.12.045003.
Повний текст джерелаEngemann, Kristie M., and Michael T. Owyang. "WHATEVER HAPPENED TO THE BUSINESS CYCLE? A BAYESIAN ANALYSIS OF JOBLESS RECOVERIES." Macroeconomic Dynamics 14, no. 5 (July 30, 2010): 709–26. http://dx.doi.org/10.1017/s1365100509990812.
Повний текст джерелаAdams, Jadie, Steven Lu, Krzysztof M. Gorski, Graca Rocha, and Kiri L. Wagstaff. "Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (June 26, 2023): 15640–46. http://dx.doi.org/10.1609/aaai.v37i13.26854.
Повний текст джерелаBonkhoff, Anna K., Thomas Hope, Danilo Bzdok, Adrian G. Guggisberg, Rachel L. Hawe, Sean P. Dukelow, Anne K. Rehme, Gereon R. Fink, Christian Grefkes, and Howard Bowman. "Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment." Brain 143, no. 7 (June 29, 2020): 2189–206. http://dx.doi.org/10.1093/brain/awaa146.
Повний текст джерелаYi, Ming, Meng Wang, Evangelos Farantatos, and Tapas Barik. "Bayesian robust hankel matrix completion with uncertainty modeling for synchrophasor data recovery." ACM SIGEnergy Energy Informatics Review 2, no. 1 (February 2022): 1–19. http://dx.doi.org/10.1145/3527579.3527580.
Повний текст джерелаShekaramiz, Mohammad, and Todd K. Moon. "Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion." Entropy 25, no. 3 (March 16, 2023): 511. http://dx.doi.org/10.3390/e25030511.
Повний текст джерелаBudiana, Stevanny, Felivia Kusnadi, and Robyn Irawan. "BAYESIAN ADDITIVE REGRESSION TREE APPLICATION FOR PREDICTING MATERNITY RECOVERY RATE OF GROUP LONG-TERM DISABILITY INSURANCE." BAREKENG: Jurnal Ilmu Matematika dan Terapan 17, no. 1 (April 15, 2023): 0135–46. http://dx.doi.org/10.30598/barekengvol17iss1pp0135-0146.
Повний текст джерелаLi, Junlin, Wei Zhou, and Cheng Cheng. "Adaptive support-driven Bayesian reweighted algorithm for sparse signal recovery." Signal, Image and Video Processing 15, no. 6 (January 31, 2021): 1295–302. http://dx.doi.org/10.1007/s11760-021-01860-2.
Повний текст джерелаSONG, Jinyang, Feng SHEN, Xiaobo CHEN, and Di ZHAO. "Robust Sparse Signal Recovery in Impulsive Noise Using Bayesian Methods." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, no. 1 (2018): 273–78. http://dx.doi.org/10.1587/transfun.e101.a.273.
Повний текст джерелаDunham, Kylee D., Erik E. Osnas, Charles J. Frost, Julian B. Fischer, and James B. Grand. "Assessing recovery of spectacled eiders using a Bayesian decision analysis." PLOS ONE 16, no. 7 (July 1, 2021): e0253895. http://dx.doi.org/10.1371/journal.pone.0253895.
Повний текст джерелаJiao, Libin, Hao Wu, Haodi Wang, and Rongfang Bie. "Text Recovery via Deep CNN-BiLSTM Recognition and Bayesian Inference." IEEE Access 6 (2018): 76416–28. http://dx.doi.org/10.1109/access.2018.2882592.
Повний текст джерелаKnapik, B. T., A. W. van der Vaart, and J. H. van Zanten. "Bayesian Recovery of the Initial Condition for the Heat Equation." Communications in Statistics - Theory and Methods 42, no. 7 (April 2013): 1294–313. http://dx.doi.org/10.1080/03610926.2012.681417.
Повний текст джерелаQian, W., and D. M. Titterington. "Bayesian image restoration: an application to edge-preserving surface recovery." IEEE Transactions on Pattern Analysis and Machine Intelligence 15, no. 7 (July 1993): 748–52. http://dx.doi.org/10.1109/34.221174.
Повний текст джерелаCevri, M., and D. Üstündağ. "Bayesian recovery of sinusoids from noisy data with parallel tempering." IET Signal Processing 6, no. 7 (2012): 673. http://dx.doi.org/10.1049/iet-spr.2011.0335.
Повний текст джерелаAli, Anum, Mudassir Masood, Muhammad S. Sohail, Samir N. Al-Ghadhban, and Tareq Y. Al-Naffouri. "Narrowband Interference Mitigation in SC-FDMA Using Bayesian Sparse Recovery." IEEE Transactions on Signal Processing 64, no. 24 (December 15, 2016): 6471–84. http://dx.doi.org/10.1109/tsp.2016.2614484.
Повний текст джерелаOrtega-Argueta, Alejandro. "Improving recovery planning for threatened species through Bayesian belief networks." Biological Conservation 241 (January 2020): 108320. http://dx.doi.org/10.1016/j.biocon.2019.108320.
Повний текст джерелаKhanna, Saurabh, and Chandra R. Murthy. "Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach." IEEE Transactions on Signal and Information Processing over Networks 3, no. 1 (March 2017): 29–45. http://dx.doi.org/10.1109/tsipn.2016.2612120.
Повний текст джерелаParlikad, Ajith Kumar, and Duncan McFarlane. "Value of information in product recovery decisions: a Bayesian approach." International Journal of Sustainable Engineering 3, no. 2 (June 2010): 106–20. http://dx.doi.org/10.1080/19397030903499810.
Повний текст джерелаWang, Dan, and Zhuhong Zhang. "Variational Bayesian inference based robust multiple measurement sparse signal recovery." Digital Signal Processing 89 (June 2019): 131–44. http://dx.doi.org/10.1016/j.dsp.2019.03.013.
Повний текст джерелаWidarsson, Björn, and Erik Dotzauer. "Bayesian network-based early-warning for leakage in recovery boilers." Applied Thermal Engineering 28, no. 7 (May 2008): 754–60. http://dx.doi.org/10.1016/j.applthermaleng.2007.06.016.
Повний текст джерелаBenazzouza, Salma, Mohammed Ridouani, Fatima Salahdine, and Aawatif Hayar. "Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks." Symmetry 13, no. 3 (March 7, 2021): 429. http://dx.doi.org/10.3390/sym13030429.
Повний текст джерелаMagris, G., C. Mateu, G. Bruzual A., and I. Cabrera. "On the Recovery of Galaxy Properties from Spectral Fits." Proceedings of the International Astronomical Union 8, S295 (August 2012): 317. http://dx.doi.org/10.1017/s174392131300519x.
Повний текст джерелаReichenberg, Ray E., Roy Levy, and Adam Clark. "Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study." Applied Psychological Measurement 46, no. 2 (February 10, 2022): 116–35. http://dx.doi.org/10.1177/01466216211066609.
Повний текст джерелаBonkhoff, Anna K., Tom Hope, Danilo Bzdok, Adrian G. Guggisberg, Rachel L. Hawe, Sean P. Dukelow, François Chollet, David J. Lin, Christian Grefkes, and Howard Bowman. "Recovery after stroke: the severely impaired are a distinct group." Journal of Neurology, Neurosurgery & Psychiatry 93, no. 4 (December 22, 2021): 369–78. http://dx.doi.org/10.1136/jnnp-2021-327211.
Повний текст джерелаJOHANSEN, ANDERS, and DIDIER SORNETTE. "EVALUATION OF THE QUANTITATIVE PREDICTION OF A TREND REVERSAL ON THE JAPANESE STOCK MARKET IN 1999." International Journal of Modern Physics C 11, no. 02 (March 2000): 359–64. http://dx.doi.org/10.1142/s012918310000033x.
Повний текст джерелаLavielle, Marc. "2-D Bayesian deconvolution." GEOPHYSICS 56, no. 12 (December 1991): 2008–18. http://dx.doi.org/10.1190/1.1443013.
Повний текст джерелаZhang, Yanbin, Long-Ting Huang, Yangqing Li, Kai Zhang, and Changchuan Yin. "Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning." Sensors 22, no. 1 (January 4, 2022): 343. http://dx.doi.org/10.3390/s22010343.
Повний текст джерелаKim, Taeyoung, Seungbae Choi, and Hae-Gyung Yoon. "Prelude to Machine Learning-Based IRT Research: Bayesian Item Parameter Recovery." Korean Data Analysis Society 23, no. 4 (August 30, 2021): 1509–16. http://dx.doi.org/10.37727/jkdas.2021.23.4.1509.
Повний текст джерелаBidon, Stephanie, Marie Lasserre, and Francois Le Chevalier. "Unambiguous Sparse Recovery of Migrating Targets With a Robustified Bayesian Model." IEEE Transactions on Aerospace and Electronic Systems 55, no. 1 (February 2019): 108–23. http://dx.doi.org/10.1109/taes.2018.2848360.
Повний текст джерелаWilson, Kat, Erika E. Lentz, Jennifer L. Miselis, Ilgar Safak, and Owen T. Brenner. "A Bayesian Approach to Predict Sub-Annual Beach Change and Recovery." Estuaries and Coasts 42, no. 1 (August 27, 2018): 112–31. http://dx.doi.org/10.1007/s12237-018-0444-1.
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