Статті в журналах з теми "Gaussian process regression model"
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Sofro, A., and A. Oktaviarina. "Gaussian Process Regression Model in Spatial Logistic Regression." Journal of Physics: Conference Series 947 (January 2018): 012005. http://dx.doi.org/10.1088/1742-6596/947/1/012005.
Повний текст джерелаNguyen-Tuong, Duy, Matthias Seeger, and Jan Peters. "Model Learning with Local Gaussian Process Regression." Advanced Robotics 23, no. 15 (January 2009): 2015–34. http://dx.doi.org/10.1163/016918609x12529286896877.
Повний текст джерелаWang, Bo, and Jian Qing Shi. "Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data." Journal of the American Statistical Association 109, no. 507 (July 3, 2014): 1123–33. http://dx.doi.org/10.1080/01621459.2014.889021.
Повний текст джерелаPearce, Robert, Peter Ireland, and Eduardo Romero. "Thermal matching using Gaussian process regression." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 6 (January 28, 2020): 1172–80. http://dx.doi.org/10.1177/0954410020901961.
Повний текст джерелаPark, Chiwoo, David J. Borth, Nicholas S. Wilson, Chad N. Hunter, and Fritz J. Friedersdorf. "Robust Gaussian process regression with a bias model." Pattern Recognition 124 (April 2022): 108444. http://dx.doi.org/10.1016/j.patcog.2021.108444.
Повний текст джерелаHewing, Lukas, Juraj Kabzan, and Melanie N. Zeilinger. "Cautious Model Predictive Control Using Gaussian Process Regression." IEEE Transactions on Control Systems Technology 28, no. 6 (November 2020): 2736–43. http://dx.doi.org/10.1109/tcst.2019.2949757.
Повний текст джерелаBachoc, Francois, Fabrice Gamboa, Jean-Michel Loubes, and Nil Venet. "A Gaussian Process Regression Model for Distribution Inputs." IEEE Transactions on Information Theory 64, no. 10 (October 2018): 6620–37. http://dx.doi.org/10.1109/tit.2017.2762322.
Повний текст джерелаMisumi, Toshihiro. "MODEL SELECTION FOR FUNCTIONAL MIXED MODEL VIA GAUSSIAN PROCESS REGRESSION." Bulletin of informatics and cybernetics 46 (December 2014): 23–35. http://dx.doi.org/10.5109/1798144.
Повний текст джерелаChapaneri, Santosh, and Deepak Jayaswal. "Structured Gaussian Process Regression of Music Mood." Fundamenta Informaticae 176, no. 2 (December 18, 2020): 183–203. http://dx.doi.org/10.3233/fi-2020-1970.
Повний текст джерелаTerry, Nick, and Youngjun Choe. "Splitting Gaussian processes for computationally-efficient regression." PLOS ONE 16, no. 8 (August 24, 2021): e0256470. http://dx.doi.org/10.1371/journal.pone.0256470.
Повний текст джерелаTeng, Fei, Wenyuan Tao, and Chung-Ming Own. "Localization Reliability Improvement Using Deep Gaussian Process Regression Model." Sensors 18, no. 12 (November 27, 2018): 4164. http://dx.doi.org/10.3390/s18124164.
Повний текст джерелаBayati, Abdolkhalegh, Kim-Khoa Nguyen, and Mohamed Cheriet. "Gaussian Process Regression Ensemble Model for Network Traffic Prediction." IEEE Access 8 (2020): 176540–54. http://dx.doi.org/10.1109/access.2020.3026337.
Повний текст джерелаLin, Chaoning, Tongchun Li, Siyu Chen, Xiaoqing Liu, Chuan Lin, and Siling Liang. "Gaussian process regression-based forecasting model of dam deformation." Neural Computing and Applications 31, no. 12 (August 6, 2019): 8503–18. http://dx.doi.org/10.1007/s00521-019-04375-7.
Повний текст джерелаGattiker, J. R., M. S. Hamada, D. M. Higdon, M. Schonlau, and W. J. Welch. "Using a Gaussian Process as a Nonparametric Regression Model." Quality and Reliability Engineering International 32, no. 2 (February 19, 2015): 673–80. http://dx.doi.org/10.1002/qre.1782.
Повний текст джерелаHong, Xiaodan, Biao Huang, Yongsheng Ding, Fan Guo, Lei Chen, and Lihong Ren. "Multivariate Gaussian process regression for nonlinear modelling with colored noise." Transactions of the Institute of Measurement and Control 41, no. 8 (November 21, 2018): 2268–79. http://dx.doi.org/10.1177/0142331218798429.
Повний текст джерелаFerkous, Khaled, Farouk Chellali, Abdalah Kouzou, and Belgacem Bekkar. "Wavelet-Gaussian Process Regression Model for Regression Daily Solar Radiation in Ghardaia, Algeria." Instrumentation Mesure Métrologie 20, no. 2 (April 30, 2021): 113–19. http://dx.doi.org/10.18280/i2m.200208.
Повний текст джерелаLi, Tanda, Guy R. Davies, Alexander J. Lyttle, Warrick H. Ball, Lindsey M. Carboneau, and Rafael A. García. "Modelling stars with Gaussian Process Regression: augmenting stellar model grid." Monthly Notices of the Royal Astronomical Society 511, no. 4 (February 21, 2022): 5597–610. http://dx.doi.org/10.1093/mnras/stac467.
Повний текст джерелаRius Carretero, David, and Salvador Torra Porras. "APLICACIONES ACTUARIALES MEDIANTE GAUSSIAN PROCESS REGRESSION: VIDA Y NO VIDA." Anales del Instituto de Actuarios Españoles, no. 28 (December 2022): 67–100. http://dx.doi.org/10.26360/2022_3.
Повний текст джерелаZhang, Tianyi, Song Peng, Yang Jia, Junkai Sun, He Tian, and Chuliang Yan. "Slip Estimation Model for Planetary Rover Using Gaussian Process Regression." Applied Sciences 12, no. 9 (May 9, 2022): 4789. http://dx.doi.org/10.3390/app12094789.
Повний текст джерелаChen, Baixi, Luming Shen, and Hao Zhang. "Gaussian Process Regression-Based Material Model for Stochastic Structural Analysis." ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 7, no. 3 (September 2021): 04021025. http://dx.doi.org/10.1061/ajrua6.0001138.
Повний текст джерелаKim, Jae Hoan, and Jaeyong Lee. "Identifiability of covariance kernels in the Gaussian process regression model." Journal of the Korean Data And Information Science Society 32, no. 6 (November 30, 2021): 1373–92. http://dx.doi.org/10.7465/jkdi.2021.32.6.1373.
Повний текст джерелаPan, Tianhong, Yang Cai, and Shan Chen. "Development of an Engine Calibration Model Using Gaussian Process Regression." International Journal of Automotive Technology 22, no. 2 (March 4, 2021): 327–34. http://dx.doi.org/10.1007/s12239-021-0031-5.
Повний текст джерелаFeng, Jianshe, Xiaodong Jia, Haoshu Cai, Feng Zhu, Xiang Li, and Jay Lee. "Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction." Journal of Modern Power Systems and Clean Energy 9, no. 5 (2021): 1217–26. http://dx.doi.org/10.35833/mpce.2019.000142.
Повний текст джерелаG. "A Gaussian Process Regression Model for the Traveling Salesman Problem." Journal of Computer Science 8, no. 10 (October 1, 2012): 1749–58. http://dx.doi.org/10.3844/jcssp.2012.1749.1758.
Повний текст джерелаChoi, Taeryon, Jian Q. Shi, and Bo Wang. "A Gaussian process regression approach to a single-index model." Journal of Nonparametric Statistics 23, no. 1 (March 2011): 21–36. http://dx.doi.org/10.1080/10485251003768019.
Повний текст джерелаHong, Xia, Junbin Gao, Xinwei Jiang, and Chris J. Harris. "Estimation of Gaussian process regression model using probability distance measures." Systems Science & Control Engineering 2, no. 1 (October 31, 2014): 655–63. http://dx.doi.org/10.1080/21642583.2014.970731.
Повний текст джерелаMangili, Francesca. "A prior near-ignorance Gaussian process model for nonparametric regression." International Journal of Approximate Reasoning 78 (November 2016): 153–71. http://dx.doi.org/10.1016/j.ijar.2016.07.005.
Повний текст джерелаZhang, Le, Zhong Liu, Jian-qiang Zhang, and Xiong-wei Ren. "A genetic Gaussian process regression model based on memetic algorithm." Journal of Central South University 20, no. 11 (November 2013): 3085–93. http://dx.doi.org/10.1007/s11771-013-1832-0.
Повний текст джерелаHan, Jianan, Xiao-Ping Zhang, and Fang Wang. "Gaussian Process Regression Stochastic Volatility Model for Financial Time Series." IEEE Journal of Selected Topics in Signal Processing 10, no. 6 (September 2016): 1015–28. http://dx.doi.org/10.1109/jstsp.2016.2570738.
Повний текст джерелаLee, Youngsaeng, and Jeong-Soo Park. "Model selection algorithm in Gaussian process regression for computer experiments." Communications for Statistical Applications and Methods 24, no. 4 (July 31, 2017): 383–96. http://dx.doi.org/10.5351/csam.2017.24.4.383.
Повний текст джерела邓, 旭生. "Gaussian Process Regression Model in the Context of Complex Data." Statistics and Application 11, no. 05 (2022): 1194–201. http://dx.doi.org/10.12677/sa.2022.115123.
Повний текст джерелаZheng, Bowen, Kaiping Yu, Shuaishuai Liu, and Rui Zhao. "Interval model updating using universal grey mathematics and Gaussian process regression model." Mechanical Systems and Signal Processing 141 (July 2020): 106455. http://dx.doi.org/10.1016/j.ymssp.2019.106455.
Повний текст джерелаAhmad, Mahmood, Maaz Amjad, Ramez Al-Mansob, Paweł Kamiński, Piotr Olczak, Beenish Khan, and Arnold Alguno. "Prediction of Liquefaction-Induced Lateral Displacements Using Gaussian Process Regression." Applied Sciences 12, no. 4 (February 14, 2022): 1977. http://dx.doi.org/10.3390/app12041977.
Повний текст джерелаLiu, Yuxin, Ron Noomen, and Pieter Visser. "A Gravity Assist Mapping Based on Gaussian Process Regression." Journal of the Astronautical Sciences 68, no. 1 (March 2021): 248–72. http://dx.doi.org/10.1007/s40295-021-00246-3.
Повний текст джерелаLu, Ziwei, and Hongfei Yu. "Single Image Super-Resolution Algorithm based on Fixed-Point Multi-Model Gaussian Process Regression." Journal of Physics: Conference Series 2289, no. 1 (June 1, 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2289/1/012024.
Повний текст джерелаZi, Lingling, and Junping Du. "Energy-Driven Image Interpolation Using Gaussian Process Regression." Journal of Applied Mathematics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/435924.
Повний текст джерелаXiao, Han, and Claudia Eckert. "Lazy Gaussian Process Committee for Real-Time Online Regression." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 30, 2013): 969–76. http://dx.doi.org/10.1609/aaai.v27i1.8572.
Повний текст джерелаZhang, Renhui, and Xutao Zhao. "Inverse Method of Centrifugal Pump Blade Based on Gaussian Process Regression." Mathematical Problems in Engineering 2020 (February 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/4605625.
Повний текст джерелаLei, Yu, Min Guo, Hongbing Cai, Dandan Hu, and Danning Zhao. "Prediction of Length-of-day Using Gaussian Process Regression." Journal of Navigation 68, no. 3 (January 19, 2015): 563–75. http://dx.doi.org/10.1017/s0373463314000927.
Повний текст джерелаGirolami, Mark, and Simon Rogers. "Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors." Neural Computation 18, no. 8 (August 2006): 1790–817. http://dx.doi.org/10.1162/neco.2006.18.8.1790.
Повний текст джерелаSajja, Sri Lavanya. "Online Sparse Gaussian Process (GP) Regression Model For Human Motion Tracking." IOSR Journal of Engineering 02, no. 10 (October 2012): 17–22. http://dx.doi.org/10.9790/3021-021021722.
Повний текст джерелаFan, Kesen, and Yiming Wan. "State-of-Charge Dependent Battery Model Identification Using Gaussian Process Regression." IFAC-PapersOnLine 54, no. 3 (2021): 647–52. http://dx.doi.org/10.1016/j.ifacol.2021.08.315.
Повний текст джерелаSuphawan, Kamonrat, Ruethaichanok Kardkasem, and Kuntalee Chaisee. "A Gaussian Process Regression Model for Forecasting Stock Exchange of Thailand." Trends in Sciences 19, no. 6 (March 3, 2022): 3045. http://dx.doi.org/10.48048/tis.2022.3045.
Повний текст джерелаPark, Kyusic, and Matthew S. Allen. "A Gaussian process regression reduced order model for geometrically nonlinear structures." Mechanical Systems and Signal Processing 184 (February 2023): 109720. http://dx.doi.org/10.1016/j.ymssp.2022.109720.
Повний текст джерелаGuo, Wei, Tianhong Pan, Zhengming Li, and Shan Chen. "Model Calibration Method for Soft Sensors Using Adaptive Gaussian Process Regression." IEEE Access 7 (2019): 168436–43. http://dx.doi.org/10.1109/access.2019.2954158.
Повний текст джерелаRui, Jianwen, Hongbing Zhang, Quan Ren, Lizhi Yan, Qiang Guo, and Dailu Zhang. "TOC content prediction based on a combined Gaussian process regression model." Marine and Petroleum Geology 118 (August 2020): 104429. http://dx.doi.org/10.1016/j.marpetgeo.2020.104429.
Повний текст джерелаGijsberts, Arjan, and Giorgio Metta. "Real-time model learning using Incremental Sparse Spectrum Gaussian Process Regression." Neural Networks 41 (May 2013): 59–69. http://dx.doi.org/10.1016/j.neunet.2012.08.011.
Повний текст джерелаYuan, Jin, Cheng-Liang Liu, Xuemei Liu, Kesheng Wang, and Tao Yu. "Incorporating prior model into Gaussian processes regression for WEDM process modeling." Expert Systems with Applications 36, no. 4 (May 2009): 8084–92. http://dx.doi.org/10.1016/j.eswa.2008.10.048.
Повний текст джерелаBeckers, Thomas, Jonas Umlauft, and Sandra Hirche. "Stable Model-based Control with Gaussian Process Regression for Robot Manipulators." IFAC-PapersOnLine 50, no. 1 (July 2017): 3877–84. http://dx.doi.org/10.1016/j.ifacol.2017.08.359.
Повний текст джерелаPark, J., D. Lechevalier, R. Ak, M. Ferguson, K. H. Law, Y. T. T. Lee, and S. Rachuri. "Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)." Smart and Sustainable Manufacturing Systems 1, no. 1 (March 29, 2017): 20160008. http://dx.doi.org/10.1520/ssms20160008.
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