Articoli di riviste sul tema "Constrained Gaussian processes"
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Wang, Xiaojing, e James O. Berger. "Estimating Shape Constrained Functions Using Gaussian Processes". SIAM/ASA Journal on Uncertainty Quantification 4, n. 1 (gennaio 2016): 1–25. http://dx.doi.org/10.1137/140955033.
Testo completoGraf, Siegfried, e Harald Luschgy. "Entropy-constrained functional quantization of Gaussian processes". Proceedings of the American Mathematical Society 133, n. 11 (2 maggio 2005): 3403–9. http://dx.doi.org/10.1090/s0002-9939-05-07888-3.
Testo completoNiu, Mu, Pokman Cheung, Lizhen Lin, Zhenwen Dai, Neil Lawrence e David Dunson. "Intrinsic Gaussian processes on complex constrained domains". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 81, n. 3 (19 aprile 2019): 603–27. http://dx.doi.org/10.1111/rssb.12320.
Testo completoGirbés-Juan, Vicent, Joaquín Moll, Antonio Sala e Leopoldo Armesto. "Cautious Bayesian Optimization: A Line Tracker Case Study". Sensors 23, n. 16 (18 agosto 2023): 7266. http://dx.doi.org/10.3390/s23167266.
Testo completoYang, Shihao, Samuel W. K. Wong e S. C. Kou. "Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes". Proceedings of the National Academy of Sciences 118, n. 15 (9 aprile 2021): e2020397118. http://dx.doi.org/10.1073/pnas.2020397118.
Testo completoRattunde, Leonhard, Igor Laptev, Edgar D. Klenske e Hans-Christian Möhring. "Safe optimization for feedrate scheduling of power-constrained milling processes by using Gaussian processes". Procedia CIRP 99 (2021): 127–32. http://dx.doi.org/10.1016/j.procir.2021.03.020.
Testo completoSchweidtmann, Artur M., Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromił Najman e Alexander Mitsos. "Deterministic global optimization with Gaussian processes embedded". Mathematical Programming Computation 13, n. 3 (25 giugno 2021): 553–81. http://dx.doi.org/10.1007/s12532-021-00204-y.
Testo completoLi, Ming, Xiafei Tang, Qichun Zhang e Yiqun Zou. "Non-Gaussian Pseudolinear Kalman Filtering-Based Target Motion Analysis with State Constraints". Applied Sciences 12, n. 19 (4 ottobre 2022): 9975. http://dx.doi.org/10.3390/app12199975.
Testo completoSalmon, John. "Generation of Correlated and Constrained Gaussian Stochastic Processes for N-Body Simulations". Astrophysical Journal 460 (marzo 1996): 59. http://dx.doi.org/10.1086/176952.
Testo completoRocher, Antoine, Vanina Ruhlmann-Kleider, Etienne Burtin e Arnaud de Mattia. "Halo occupation distribution of Emission Line Galaxies: fitting method with Gaussian processes". Journal of Cosmology and Astroparticle Physics 2023, n. 05 (1 maggio 2023): 033. http://dx.doi.org/10.1088/1475-7516/2023/05/033.
Testo completoLindberg, Christina Willecke, Daniela Huppenkothen, R. Lynne Jones, Bryce T. Bolin, Mario Jurić, V. Zach Golkhou, Eric C. Bellm et al. "Characterizing Sparse Asteroid Light Curves with Gaussian Processes". Astronomical Journal 163, n. 1 (21 dicembre 2021): 29. http://dx.doi.org/10.3847/1538-3881/ac3079.
Testo completoWang, Shengbo, e Ke Li. "Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence". Proceedings of the AAAI Conference on Artificial Intelligence 38, n. 14 (24 marzo 2024): 15607–15. http://dx.doi.org/10.1609/aaai.v38i14.29488.
Testo completoSchrouff, Jessica, Caroline Kussé, Louis Wehenkel, Pierre Maquet e Christophe Phillips. "Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes". PLoS ONE 7, n. 4 (26 aprile 2012): e35860. http://dx.doi.org/10.1371/journal.pone.0035860.
Testo completoLi, Wei, Philippe Ciais, Shushi Peng, Chao Yue, Yilong Wang, Martin Thurner, Sassan S. Saatchi et al. "Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations". Biogeosciences 14, n. 22 (14 novembre 2017): 5053–67. http://dx.doi.org/10.5194/bg-14-5053-2017.
Testo completoDuecker, Daniel Andre, Andreas Rene Geist, Edwin Kreuzer e Eugen Solowjow. "Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control". Sensors 19, n. 9 (6 maggio 2019): 2094. http://dx.doi.org/10.3390/s19092094.
Testo completoMinkova, Leda D. "A stochastic model for the financial market with discontinuous prices". Journal of Applied Mathematics and Stochastic Analysis 9, n. 3 (1 gennaio 1996): 271–80. http://dx.doi.org/10.1155/s1048953396000263.
Testo completoLi, Lei, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng e Yansen Su. "SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization". PLOS Computational Biology 17, n. 7 (12 luglio 2021): e1009165. http://dx.doi.org/10.1371/journal.pcbi.1009165.
Testo completoDEKKER, H., e A. MAASSEN VAN DEN BRINK. "TRANSITION STATE THEORY IN EXTENDED PHASE SPACE". Modern Physics Letters B 07, n. 19 (20 agosto 1993): 1263–68. http://dx.doi.org/10.1142/s0217984993001284.
Testo completoGuo, Wei, Tianhong Pan, Zhengming Li e Shan Chen. "Batch process modeling by using temporal feature and Gaussian mixture model". Transactions of the Institute of Measurement and Control 42, n. 6 (1 dicembre 2019): 1204–14. http://dx.doi.org/10.1177/0142331219887827.
Testo completoLivieris, Ioannis E., Emmanuel Pintelas, Theodore Kotsilieris, Stavros Stavroyiannis e Panagiotis Pintelas. "Weight-Constrained Neural Networks in Forecasting Tourist Volumes: A Case Study". Electronics 8, n. 9 (8 settembre 2019): 1005. http://dx.doi.org/10.3390/electronics8091005.
Testo completoRegayre, Leighton A., Lucia Deaconu, Daniel P. Grosvenor, David M. H. Sexton, Christopher Symonds, Tom Langton, Duncan Watson-Paris et al. "Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing". Atmospheric Chemistry and Physics 23, n. 15 (8 agosto 2023): 8749–68. http://dx.doi.org/10.5194/acp-23-8749-2023.
Testo completoCandelieri, Antonio, Andrea Ponti, Elisabetta Fersini, Enza Messina e Francesco Archetti. "Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies". Mathematics 11, n. 20 (19 ottobre 2023): 4347. http://dx.doi.org/10.3390/math11204347.
Testo completoLi, S.-S., W. Zang, A. Udalski, Y. Shvartzvald, D. Huber, C.-U. Lee, T. Sumi et al. "OGLE-2017-BLG-1186: first application of asteroseismology and Gaussian processes to microlensing". Monthly Notices of the Royal Astronomical Society 488, n. 3 (10 luglio 2019): 3308–23. http://dx.doi.org/10.1093/mnras/stz1873.
Testo completoWenk, Philippe, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause e Stefan Bauer. "ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems". Proceedings of the AAAI Conference on Artificial Intelligence 34, n. 04 (3 aprile 2020): 6364–71. http://dx.doi.org/10.1609/aaai.v34i04.6106.
Testo completoNi, Jiancheng, Lei Li, Yutian Wang, Cunmei Ji e Chunhou Zheng. "MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA–Disease Association Prediction". Genes 13, n. 6 (6 giugno 2022): 1021. http://dx.doi.org/10.3390/genes13061021.
Testo completoNi, Jiancheng, Lei Li, Yutian Wang, Cunmei Ji e Chunhou Zheng. "MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA–Disease Association Prediction". Genes 13, n. 6 (6 giugno 2022): 1021. http://dx.doi.org/10.3390/genes13061021.
Testo completoHERZOG, FLORIAN, GABRIEL DONDI e HANS P. GEERING. "STOCHASTIC MODEL PREDICTIVE CONTROL AND PORTFOLIO OPTIMIZATION". International Journal of Theoretical and Applied Finance 10, n. 02 (marzo 2007): 203–33. http://dx.doi.org/10.1142/s0219024907004196.
Testo completoLi, Kaibin, Zhiping Peng, Delong Cui e Qirui Li. "SLA-DQTS: SLA Constrained Adaptive Online Task Scheduling Based on DDQN in Cloud Computing". Applied Sciences 11, n. 20 (9 ottobre 2021): 9360. http://dx.doi.org/10.3390/app11209360.
Testo completoMIELCZAREK, JAKUB, e MICHAŁ KAMIONKA. "SMOOTHED QUANTUM FLUCTUATIONS AND CMB OBSERVATIONS". International Journal of Modern Physics D 21, n. 10 (ottobre 2012): 1250080. http://dx.doi.org/10.1142/s0218271812500800.
Testo completoRamalingam, Gomathi, Selvakumaran Selvaraj, Visumathi James, Senthil Kumar Saravanaperumal e Buvaneswari Mohanram. "Segmentation of Medical Images with Adaptable Multifunctional Discretization Bayesian Neural Networks and Gaussian Operation". International journal of electrical and computer engineering systems 14, n. 4 (26 aprile 2023): 381–92. http://dx.doi.org/10.32985/ijeces.14.4.2.
Testo completoShojaie, Ali, e Emily B. Fox. "Granger Causality: A Review and Recent Advances". Annual Review of Statistics and Its Application 9, n. 1 (7 marzo 2022): 289–319. http://dx.doi.org/10.1146/annurev-statistics-040120-010930.
Testo completoFaria, J. P., V. Adibekyan, E. M. Amazo-Gómez, S. C. C. Barros, J. D. Camacho, O. Demangeon, P. Figueira et al. "Decoding the radial velocity variations of HD 41248 with ESPRESSO". Astronomy & Astrophysics 635 (marzo 2020): A13. http://dx.doi.org/10.1051/0004-6361/201936389.
Testo completoStrocchi, Marina, Stefano Longobardi, Christoph M. Augustin, Matthias A. F. Gsell, Argyrios Petras, Christopher A. Rinaldi, Edward J. Vigmond et al. "Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators". PLOS Computational Biology 19, n. 6 (26 giugno 2023): e1011257. http://dx.doi.org/10.1371/journal.pcbi.1011257.
Testo completoOwen, Nathan E., e Lorena Liuzzo. "Impact of land use on water resources via a Gaussian process emulator with dimension reduction". Journal of Hydroinformatics 21, n. 3 (19 marzo 2019): 411–26. http://dx.doi.org/10.2166/hydro.2019.067.
Testo completoMeyer, Antoine D., David A. van Dyk, Hyungsuk Tak e Aneta Siemiginowska. "TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes". Astrophysical Journal 950, n. 1 (1 giugno 2023): 37. http://dx.doi.org/10.3847/1538-4357/acbea1.
Testo completoWang, Yufei, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau e Alex Kot. "Low-Light Image Enhancement with Normalizing Flow". Proceedings of the AAAI Conference on Artificial Intelligence 36, n. 3 (28 giugno 2022): 2604–12. http://dx.doi.org/10.1609/aaai.v36i3.20162.
Testo completoCasaburo, Alessandro, Dario Magliacano, Giuseppe Petrone, Francesco Franco e Sergio De Rosa. "Gaussian-Based Machine Learning Algorithm for the Design and Characterization of a Porous Meta-Material for Acoustic Applications". Applied Sciences 12, n. 1 (30 dicembre 2021): 333. http://dx.doi.org/10.3390/app12010333.
Testo completoVacher, Jonathan, Andrew Isaac Meso, Laurent U. Perrinet e Gabriel Peyré. "Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures". Neural Computation 30, n. 12 (dicembre 2018): 3355–92. http://dx.doi.org/10.1162/neco_a_01142.
Testo completoShang, Zhenhong, Ziqi He e Runxin Li. "A Coronal Loop Automatic Detection Method". Symmetry 16, n. 6 (6 giugno 2024): 704. http://dx.doi.org/10.3390/sym16060704.
Testo completoPollard, Oliver G., Natasha L. M. Barlow, Lauren J. Gregoire, Natalya Gomez, Víctor Cartelle, Jeremy C. Ely e Lachlan C. Astfalck. "Quantifying the uncertainty in the Eurasian ice-sheet geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6)". Cryosphere 17, n. 11 (10 novembre 2023): 4751–77. http://dx.doi.org/10.5194/tc-17-4751-2023.
Testo completoChang, W., P. J. Applegate, M. Haran e K. Keller. "Probabilistic calibration of a Greenland Ice Sheet model using spatially resolved synthetic observations: toward projections of ice mass loss with uncertainties". Geoscientific Model Development 7, n. 5 (5 settembre 2014): 1933–43. http://dx.doi.org/10.5194/gmd-7-1933-2014.
Testo completoChang, W., P. J. Applegate, M. Haran e K. Keller. "Probabilistic calibration of a Greenland Ice Sheet model using spatially-resolved synthetic observations: toward projections of ice mass loss with uncertainties". Geoscientific Model Development Discussions 7, n. 2 (25 marzo 2014): 1905–31. http://dx.doi.org/10.5194/gmdd-7-1905-2014.
Testo completoSmit, Merijn, Andrej Dvornik, Mario Radovich, Konrad Kuijken, Matteo Maturi, Lauro Moscardini e Mauro Sereno. "AMICO galaxy clusters in KiDS-DR3: The impact of estimator statistics on the luminosity-mass scaling relation". Astronomy & Astrophysics 659 (marzo 2022): A195. http://dx.doi.org/10.1051/0004-6361/202141626.
Testo completoDur, Tolga Hasan, Rossella Arcucci, Laetitia Mottet, Miguel Molina Solana, Christopher Pain e Yi-Ke Guo. "Weak Constraint Gaussian Processes for optimal sensor placement". Journal of Computational Science 42 (aprile 2020): 101110. http://dx.doi.org/10.1016/j.jocs.2020.101110.
Testo completoFurmanek, Mariusz P., Madhur Mangalam, Damian G. Kelty-Stephen e Grzegorz Juras. "Postural constraints recruit shorter-timescale processes into the non-Gaussian cascade processes". Neuroscience Letters 741 (gennaio 2021): 135508. http://dx.doi.org/10.1016/j.neulet.2020.135508.
Testo completoBachoc, François, Agnès Lagnoux e Andrés F. López-Lopera. "Maximum likelihood estimation for Gaussian processes under inequality constraints". Electronic Journal of Statistics 13, n. 2 (2019): 2921–69. http://dx.doi.org/10.1214/19-ejs1587.
Testo completoWilliams, M., A. D. Richardson, M. Reichstein, P. C. Stoy, P. Peylin, H. Verbeeck, N. Carvalhais et al. "Improving land surface models with FLUXNET data". Biogeosciences Discussions 6, n. 2 (5 marzo 2009): 2785–835. http://dx.doi.org/10.5194/bgd-6-2785-2009.
Testo completoWilliams, M., A. D. Richardson, M. Reichstein, P. C. Stoy, P. Peylin, H. Verbeeck, N. Carvalhais et al. "Improving land surface models with FLUXNET data". Biogeosciences 6, n. 7 (30 luglio 2009): 1341–59. http://dx.doi.org/10.5194/bg-6-1341-2009.
Testo completoMcClintock, Thomas, e Eduardo Rozo. "Reconstructing probability distributions with Gaussian processes". Monthly Notices of the Royal Astronomical Society 489, n. 3 (2 settembre 2019): 4155–60. http://dx.doi.org/10.1093/mnras/stz2426.
Testo completoRoque, Luis, Luis Torgo e Carlos Soares. "Automatic Hierarchical Time-Series Forecasting Using Gaussian Processes". Engineering Proceedings 5, n. 1 (9 luglio 2021): 49. http://dx.doi.org/10.3390/engproc2021005049.
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