Статті в журналах з теми "Bayesian Machine Learning (BML)"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Bayesian Machine Learning (BML)".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Rigueira, Xurxo, María Pazo, María Araújo, Saki Gerassis, and Elvira Bocos. "Bayesian Machine Learning and Functional Data Analysis as a Two-Fold Approach for the Study of Acid Mine Drainage Events." Water 15, no. 8 (April 15, 2023): 1553. http://dx.doi.org/10.3390/w15081553.
Повний текст джерелаMobiny, Aryan, Aditi Singh, and Hien Van Nguyen. "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis." Journal of Clinical Medicine 8, no. 8 (August 17, 2019): 1241. http://dx.doi.org/10.3390/jcm8081241.
Повний текст джерелаOladyshkin, Sergey, Farid Mohammadi, Ilja Kroeker, and Wolfgang Nowak. "Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory." Entropy 22, no. 8 (August 13, 2020): 890. http://dx.doi.org/10.3390/e22080890.
Повний текст джерелаZhou, Ting, Xiaohu Wen, Qi Feng, Haijiao Yu, and Haiyang Xi. "Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas." Remote Sensing 15, no. 1 (December 29, 2022): 188. http://dx.doi.org/10.3390/rs15010188.
Повний текст джерелаKim, Sungwon, Meysam Alizamir, Nam Won Kim, and Ozgur Kisi. "Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series." Sustainability 12, no. 22 (November 21, 2020): 9720. http://dx.doi.org/10.3390/su12229720.
Повний текст джерелаNajafi, Mohammad Reza, Zahra Kavianpour, Banafsheh Najafi, Mohammad Reza Kavianpour, and Hamid Moradkhani. "Air demand in gated tunnels – a Bayesian approach to merge various predictions." Journal of Hydroinformatics 14, no. 1 (April 23, 2011): 152–66. http://dx.doi.org/10.2166/hydro.2011.108.
Повний текст джерелаXu, Ren, Nengcheng Chen, Yumin Chen, and Zeqiang Chen. "Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin." Advances in Meteorology 2020 (March 9, 2020): 1–17. http://dx.doi.org/10.1155/2020/8680436.
Повний текст джерелаShu, Meiyan, Shuaipeng Fei, Bingyu Zhang, Xiaohong Yang, Yan Guo, Baoguo Li, and Yuntao Ma. "Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits." Plant Phenomics 2022 (August 28, 2022): 1–17. http://dx.doi.org/10.34133/2022/9802585.
Повний текст джерелаQuadeer, Ahmed A., Matthew R. McKay, John P. Barton, and Raymond H. Y. Louie. "MPF–BML: a standalone GUI-based package for maximum entropy model inference." Bioinformatics 36, no. 7 (December 18, 2019): 2278–79. http://dx.doi.org/10.1093/bioinformatics/btz925.
Повний текст джерелаSoria-Olivas, E., J. Gomez-Sanchis, J. D. Martin, J. Vila-Frances, M. Martinez, J. R. Magdalena, and A. J. Serrano. "BELM: Bayesian Extreme Learning Machine." IEEE Transactions on Neural Networks 22, no. 3 (March 2011): 505–9. http://dx.doi.org/10.1109/tnn.2010.2103956.
Повний текст джерелаBiletskyy, B. "Distributed Bayesian Machine Learning Procedures." Cybernetics and Systems Analysis 55, no. 3 (May 2019): 456–61. http://dx.doi.org/10.1007/s10559-019-00153-4.
Повний текст джерелаChen, Yarui, Jucheng Yang, Chao Wang, and DongSun Park. "Variational Bayesian extreme learning machine." Neural Computing and Applications 27, no. 1 (September 24, 2014): 185–96. http://dx.doi.org/10.1007/s00521-014-1710-1.
Повний текст джерелаSuyama, Atsushi. "Introduction to Bayesian Machine Learning." Journal of the Robotics Society of Japan 40, no. 10 (2022): 857–62. http://dx.doi.org/10.7210/jrsj.40.857.
Повний текст джерелаLi, Yifen, Yun Wang, Zhiya Chen, and Runmin Zou. "Bayesian robust multi-extreme learning machine." Knowledge-Based Systems 210 (December 2020): 106468. http://dx.doi.org/10.1016/j.knosys.2020.106468.
Повний текст джерелаGandhi, Shipra, Sarabjot Pabla, Mary Nesline, Manu Pandey, Marc S. Ernstoff, Grace K. Dy, Jeffery M. Conroy, et al. "Algorithmic prediction of response to checkpoint inhibitors: Hyperprogressors versus responders." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): 11565. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.11565.
Повний текст джерелаWang, Peipei, Xinqi Zheng, Junhua Ku, and Chunning Wang. "Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine." IEEE Access 8 (2020): 62458–70. http://dx.doi.org/10.1109/access.2020.2984271.
Повний текст джерелаWai Lam. "Bayesian network refinement via machine learning approach." IEEE Transactions on Pattern Analysis and Machine Intelligence 20, no. 3 (March 1998): 240–51. http://dx.doi.org/10.1109/34.667882.
Повний текст джерелаKrems, R. V. "Bayesian machine learning for quantum molecular dynamics." Physical Chemistry Chemical Physics 21, no. 25 (2019): 13392–410. http://dx.doi.org/10.1039/c9cp01883b.
Повний текст джерелаKarandikar, Jaydeep, Andrew Honeycutt, Scott Smith, and Tony Schmitz. "Milling stability identification using Bayesian machine learning." Procedia CIRP 93 (2020): 1423–28. http://dx.doi.org/10.1016/j.procir.2020.04.022.
Повний текст джерелаBew, David, Campbell R. Harvey, Anthony Ledford, Sam Radnor, and Andrew Sinclair. "Modeling Analysts’ Recommendations via Bayesian Machine Learning." Journal of Financial Data Science 1, no. 1 (January 31, 2019): 75–98. http://dx.doi.org/10.3905/jfds.2019.1.1.075.
Повний текст джерелаZhu, Jun, Jianfei Chen, Wenbo Hu, and Bo Zhang. "Big Learning with Bayesian methods." National Science Review 4, no. 4 (May 4, 2017): 627–51. http://dx.doi.org/10.1093/nsr/nwx044.
Повний текст джерелаBoyko, Nataliya, and Oleksandra Dypko. "Analysis of Machine Learning Methods Using Spam Filtering." Modeling Control and Information Technologies, no. 5 (November 21, 2021): 25–28. http://dx.doi.org/10.31713/mcit.2021.06.
Повний текст джерелаJ, Dr Visumathi, Tetala Durga Venkata Rama Reddy, Velagapudi Abhinandhan, and Panamganti Anil Kumar. "Multi-Disease Prediction Using Machine Learning Algorithm." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 447–53. http://dx.doi.org/10.22214/ijraset.2023.50128.
Повний текст джерелаTresp, Volker. "A Bayesian Committee Machine." Neural Computation 12, no. 11 (November 1, 2000): 2719–41. http://dx.doi.org/10.1162/089976600300014908.
Повний текст джерелаGeer, A. J. "Learning earth system models from observations: machine learning or data assimilation?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2194 (February 15, 2021): 20200089. http://dx.doi.org/10.1098/rsta.2020.0089.
Повний текст джерелаSohail, Ayesha. "INFERENCE OF BIOMEDICAL DATA SETS USING BAYESIAN MACHINE LEARNING." Biomedical Engineering: Applications, Basis and Communications 31, no. 04 (June 27, 2019): 1950030. http://dx.doi.org/10.4015/s1016237219500303.
Повний текст джерелаMalviya, Ravi Prakash. "A Bayesian Machine Learning Approach for Smart City." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 796–816. http://dx.doi.org/10.22214/ijraset.2021.39195.
Повний текст джерелаGao, Haiping, Shifa Zhong, Wenlong Zhang, Thomas Igou, Eli Berger, Elliot Reid, Yangying Zhao, et al. "Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization." Environmental Science & Technology 56, no. 4 (December 30, 2021): 2572–81. http://dx.doi.org/10.1021/acs.est.1c04373.
Повний текст джерелаJun, Sunghae, #VALUE! #VALUE!, and #VALUE! #VALUE! "Regression Machine Learning using Bayesian Inference and Regularization." Journal of Korean Institute of Intelligent Systems 29, no. 5 (October 31, 2019): 390–94. http://dx.doi.org/10.5391/jkiis.2019.29.5.390.
Повний текст джерелаWu, Wei, Srikantan Nagarajan, and Zhe Chen. "Bayesian Machine Learning: EEG\/MEG signal processing measurements." IEEE Signal Processing Magazine 33, no. 1 (January 2016): 14–36. http://dx.doi.org/10.1109/msp.2015.2481559.
Повний текст джерелаChakraborty, Sounak. "Bayesian semi-supervised learning with support vector machine." Statistical Methodology 8, no. 1 (January 2011): 68–82. http://dx.doi.org/10.1016/j.stamet.2009.09.002.
Повний текст джерелаSarkar, Dripta, Michael A. Osborne, and Thomas A. A. Adcock. "Prediction of tidal currents using Bayesian machine learning." Ocean Engineering 158 (June 2018): 221–31. http://dx.doi.org/10.1016/j.oceaneng.2018.03.007.
Повний текст джерелаWang, Jing, Lin Zhang, Juan-juan Cao, and Di Han. "NBWELM: naive Bayesian based weighted extreme learning machine." International Journal of Machine Learning and Cybernetics 9, no. 1 (December 27, 2014): 21–35. http://dx.doi.org/10.1007/s13042-014-0318-1.
Повний текст джерелаJiahua Luo, Chi-Man Vong, and Pak-Kin Wong. "Sparse Bayesian Extreme Learning Machine for Multi-classification." IEEE Transactions on Neural Networks and Learning Systems 25, no. 4 (April 2014): 836–43. http://dx.doi.org/10.1109/tnnls.2013.2281839.
Повний текст джерелаSong, Min-Jong, and Yong-Sik Cho. "Probabilistic Tsunami Heights Model using Bayesian Machine Learning." Journal of Coastal Research 95, sp1 (May 26, 2020): 1291. http://dx.doi.org/10.2112/si95-249.1.
Повний текст джерелаHobson, Michael, Philip Graff, Farhan Feroz, and Anthony Lasenby. "Machine-learning in astronomy." Proceedings of the International Astronomical Union 10, S306 (May 2014): 279–87. http://dx.doi.org/10.1017/s1743921314013672.
Повний текст джерелаWhite, Brian S., Suleiman A. Khan, Muhammad Ammad-ud-din, Swapnil Potdar, Mike J. Mason, Cristina E. Tognon, Brian J. Druker, et al. "Comparative Analysis of Independent Ex Vivo functional Drug Screens Identifies Predictive Biomarkers of BCL-2 Inhibitor Response in AML." Blood 132, Supplement 1 (November 29, 2018): 2763. http://dx.doi.org/10.1182/blood-2018-99-111916.
Повний текст джерелаChavan, Mr Vikram. "Malware Classification using Machine Learning Algorithms and Tools." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 10, 2021): 69–73. http://dx.doi.org/10.22214/ijraset.2021.34353.
Повний текст джерелаNixon, Matthew C., and Nikku Madhusudhan. "Assessment of supervised machine learning for atmospheric retrieval of exoplanets." Monthly Notices of the Royal Astronomical Society 496, no. 1 (June 16, 2020): 269–81. http://dx.doi.org/10.1093/mnras/staa1150.
Повний текст джерелаLehto, M. R., and G. S. Sorock. "Machine Learning of Motor Vehicle Accident Categories from Narrative Data." Methods of Information in Medicine 35, no. 04/05 (September 1996): 309–16. http://dx.doi.org/10.1055/s-0038-1634680.
Повний текст джерелаHwang, Ha-Eun, Yoon-Sang Cho, Seok-Cheol Hwang, and Seoung-Bum Kim. "Optimal Tire Design Using Machine Learning and Bayesian Optimization." Journal of the Korean Institute of Industrial Engineers 48, no. 4 (August 31, 2022): 433–40. http://dx.doi.org/10.7232/jkiie.2022.48.4.433.
Повний текст джерелаBaggio, Giacomo, Algo Carè, Anna Scampicchio, and Gianluigi Pillonetto. "Bayesian frequentist bounds for machine learning and system identification." Automatica 146 (December 2022): 110599. http://dx.doi.org/10.1016/j.automatica.2022.110599.
Повний текст джерелаWilliams, Dominic P., Stanley E. Lazic, Alison J. Foster, Elizaveta Semenova, and Paul Morgan. "Predicting Drug-Induced Liver Injury with Bayesian Machine Learning." Chemical Research in Toxicology 33, no. 1 (September 19, 2019): 239–48. http://dx.doi.org/10.1021/acs.chemrestox.9b00264.
Повний текст джерелаWang, Hui. "Finding patterns in subsurface using Bayesian machine learning approach." Underground Space 5, no. 1 (March 2020): 84–92. http://dx.doi.org/10.1016/j.undsp.2018.10.006.
Повний текст джерелаWang, Jian, Ting Ran, Yadong Chen, and Tao Lu. "Bayesian machine learning to discover Bruton’s tyrosine kinase inhibitors." Chemical Biology & Drug Design 96, no. 4 (August 18, 2020): 1114–22. http://dx.doi.org/10.1111/cbdd.13656.
Повний текст джерелаGarcia-Bonete, Maria-Jose, and Gergely Katona. "Bayesian machine learning improves single-wavelength anomalous diffraction phasing." Acta Crystallographica Section A Foundations and Advances 75, no. 6 (October 7, 2019): 851–60. http://dx.doi.org/10.1107/s2053273319011446.
Повний текст джерелаSantucci, Raymond J., Christine E. Sanders, Hongyu Zhu, Kenneth D. Smith, and Robert G. Kelly. "Bayesian Network Machine Learning Approach to Atmospheric Corrosion Modelling." ECS Meeting Abstracts MA2022-02, no. 10 (October 9, 2022): 693. http://dx.doi.org/10.1149/ma2022-0210693mtgabs.
Повний текст джерелаBessa, Miguel A., Piotr Glowacki, and Michael Houlder. "Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible." Advanced Materials 31, no. 48 (October 14, 2019): 1904845. http://dx.doi.org/10.1002/adma.201904845.
Повний текст джерелаChen, Hongyu, Xinyi Li, Zongbao Feng, Lei Wang, Yawei Qin, Miroslaw J. Skibniewski, Zhen-Song Chen, and Yang Liu. "Shield attitude prediction based on Bayesian-LGBM machine learning." Information Sciences 632 (June 2023): 105–29. http://dx.doi.org/10.1016/j.ins.2023.03.004.
Повний текст джерелаChaturvedi, Iti, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, and Erik Cambria. "Bayesian network based extreme learning machine for subjectivity detection." Journal of the Franklin Institute 355, no. 4 (March 2018): 1780–97. http://dx.doi.org/10.1016/j.jfranklin.2017.06.007.
Повний текст джерела