Artículos de revistas sobre el tema "Stochastic Newton algorithms"
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Kovacevic, Ivana, Branko Kovacevic y Zeljko Djurovic. "On strong consistency of a class of recursive stochastic Newton-Raphson type algorithms with application to robust linear dynamic system identification". Facta universitatis - series: Electronics and Energetics 21, n.º 1 (2008): 1–21. http://dx.doi.org/10.2298/fuee0801001k.
Texto completoYousefi, Mahsa y Ángeles Martínez. "Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods". Algorithms 16, n.º 10 (20 de octubre de 2023): 490. http://dx.doi.org/10.3390/a16100490.
Texto completoForneron, Jean-Jacques y Serena Ng. "Estimation and Inference by Stochastic Optimization: Three Examples". AEA Papers and Proceedings 111 (1 de mayo de 2021): 626–30. http://dx.doi.org/10.1257/pandp.20211038.
Texto completoCao, Pengfei y Xionglin Luo. "Performance analysis of multi-innovation stochastic Newton recursive algorithms". Digital Signal Processing 56 (septiembre de 2016): 15–23. http://dx.doi.org/10.1016/j.dsp.2016.05.005.
Texto completoGhoshdastidar, Debarghya, Ambedkar Dukkipati y Shalabh Bhatnagar. "Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms". Automatica 50, n.º 10 (octubre de 2014): 2606–14. http://dx.doi.org/10.1016/j.automatica.2014.08.021.
Texto completoShao, Wei y Guangbao Guo. "Multiple-Try Simulated Annealing Algorithm for Global Optimization". Mathematical Problems in Engineering 2018 (17 de julio de 2018): 1–11. http://dx.doi.org/10.1155/2018/9248318.
Texto completoGao, Guohua, Gaoming Li y Albert Coburn Reynolds. "A Stochastic Optimization Algorithm for Automatic History Matching". SPE Journal 12, n.º 02 (1 de junio de 2007): 196–208. http://dx.doi.org/10.2118/90065-pa.
Texto completoWang, Qing y Yang Cao. "Stochastic Finite Element Method for Nonlinear Dynamic Problem with Random Parameters". Advanced Materials Research 189-193 (febrero de 2011): 1348–57. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.1348.
Texto completoWang, Yanshan, In-Chan Choi y Hongfang Liu. "Generalized ensemble model for document ranking in information retrieval". Computer Science and Information Systems 14, n.º 1 (2017): 123–51. http://dx.doi.org/10.2298/csis160229042w.
Texto completoClayton, R. P. y R. F. Martinez-Botas. "Application of generic algorithms in aerodynamic optimisation design procedures". Aeronautical Journal 108, n.º 1090 (diciembre de 2004): 611–20. http://dx.doi.org/10.1017/s0001924000000440.
Texto completoIncorvaia, Gabriele y Oliver Dorn. "Stochastic Optimization Methods for Parametric Level Set Reconstructions in 2D through-the-Wall Radar Imaging". Electronics 9, n.º 12 (3 de diciembre de 2020): 2055. http://dx.doi.org/10.3390/electronics9122055.
Texto completoCharalambous, C. D. y J. L. Hibey. "Exact filters for Newton–Raphson parameter estimation algorithms for continuous-time partially observed stochastic systems". Systems & Control Letters 42, n.º 2 (febrero de 2001): 101–15. http://dx.doi.org/10.1016/s0167-6911(00)00082-7.
Texto completoSochi, Taha. "Deterministic and stochastic algorithms for resolving the flow fields in ducts and networks using energy minimization". International Journal of Modern Physics C 27, n.º 04 (23 de febrero de 2016): 1650036. http://dx.doi.org/10.1142/s0129183116500364.
Texto completoIsabona, Joseph, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee y Chun-Ta Li. "Optimal Radio Propagation Modeling and Parametric Tuning Using Optimization Algorithms". Information 14, n.º 11 (19 de noviembre de 2023): 621. http://dx.doi.org/10.3390/info14110621.
Texto completoGoryainov, V. B. y W. M. Khing. "Comparison of Classical and Robust Estimates of Threshold Auto-regression Parameters". Mathematics and Mathematical Modeling, n.º 5 (6 de febrero de 2021): 33–44. http://dx.doi.org/10.24108/mathm.0520.0000224.
Texto completoIlle, Nicole. "Orthogonal extended infomax algorithm". Journal of Neural Engineering 21, n.º 2 (1 de abril de 2024): 026032. http://dx.doi.org/10.1088/1741-2552/ad38db.
Texto completoHuang, Meihua, Pongsakorn Sunthrayuth, Amjad Ali Pasha y Muhammad Altaf Khan. "Numerical solution of stochastic and fractional competition model in Caputo derivative using Newton method". AIMS Mathematics 7, n.º 5 (2022): 8933–52. http://dx.doi.org/10.3934/math.2022498.
Texto completoRoeva, Olympia y Dafina Zoteva. "Model Identification of E. coli Cultivation Process Applying Hybrid Crow Search Algorithm". Fermentation 10, n.º 1 (22 de diciembre de 2023): 12. http://dx.doi.org/10.3390/fermentation10010012.
Texto completoNzokem, Aubain Hilaire. "Pricing European Options under Stochastic Volatility Models: Case of Five-Parameter Variance-Gamma Process". Journal of Risk and Financial Management 16, n.º 1 (16 de enero de 2023): 55. http://dx.doi.org/10.3390/jrfm16010055.
Texto completoAhmed, Essam A., Tariq S. Alshammari y Mohamed S. Eliwa. "Different Statistical Inference Algorithms for the New Pareto Distribution Based on Type-II Progressively Censored Competing Risk Data with Applications". Mathematics 12, n.º 13 (7 de julio de 2024): 2136. http://dx.doi.org/10.3390/math12132136.
Texto completoKetabchi, Saeed y Malihe Behboodi-Kahoo. "Smoothing Techniques and Augmented Lagrangian Method for Recourse Problem of Two-Stage Stochastic Linear Programming". Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/735916.
Texto completoLiu, Hanger, Yan Li y Maojun Zhang. "An Active Set Limited Memory BFGS Algorithm for Machine Learning". Symmetry 14, n.º 2 (14 de febrero de 2022): 378. http://dx.doi.org/10.3390/sym14020378.
Texto completoStephen, Karl D., Juan Soldo, Colin Macbeth y Mike A. Christie. "Multiple Model Seismic and Production History Matching: A Case Study". SPE Journal 11, n.º 04 (1 de diciembre de 2006): 418–30. http://dx.doi.org/10.2118/94173-pa.
Texto completoDavila, C. E. "A stochastic Newton algorithm with data-adaptive step size". IEEE Transactions on Acoustics, Speech, and Signal Processing 38, n.º 10 (1990): 1796–98. http://dx.doi.org/10.1109/29.60110.
Texto completoLi, Heng, Jun Peng, Weirong Liu, Zhiwu Huang y Kuo-Chi Lin. "A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations". International Journal of Photoenergy 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/938526.
Texto completoMilzarek, Andre, Fabian Schaipp y Michael Ulbrich. "A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction". SIAM Journal on Optimization 34, n.º 1 (26 de marzo de 2024): 1157–85. http://dx.doi.org/10.1137/22m1488181.
Texto completoBishwal, Jaya P. N. "MLE Evolution Equation for Fractional Diffusions and Berry-Esseen Inequality of Stochastic Gradient Descent Algorithm for American Option". European Journal of Statistics 2 (6 de septiembre de 2022): 13. http://dx.doi.org/10.28924/ada/stat.2.13.
Texto completoBercu, Bernard, Antoine Godichon y Bruno Portier. "An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions". SIAM Journal on Control and Optimization 58, n.º 1 (enero de 2020): 348–67. http://dx.doi.org/10.1137/19m1261717.
Texto completoMazzi, Claudio, Angelo Damone, Andrea Vandelli, Gastone Ciuti y Milena Vainieri. "Stochastic Claims Reserve in the Healthcare System: A Methodology Applied to Italian Data". Risks 12, n.º 2 (29 de enero de 2024): 24. http://dx.doi.org/10.3390/risks12020024.
Texto completoSparks, A. G. y D. S. Bernstein. "Optimal Rejection of Stochastic and Deterministic Disturbances". Journal of Dynamic Systems, Measurement, and Control 119, n.º 1 (1 de marzo de 1997): 140–43. http://dx.doi.org/10.1115/1.2801207.
Texto completoChu, Dejun, Changshui Zhang, Shiliang Sun y Qing Tao. "Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 6 (26 de junio de 2023): 7193–201. http://dx.doi.org/10.1609/aaai.v37i6.25877.
Texto completoLiu, Qiang, Rang Ding Wang, Ying Zhu y Cheng Tou Du. "An Algorithm to Eliminate Stochastic Jump Measurements of Ultrasonic Flow-Meter with Time Difference Method". Advanced Materials Research 267 (junio de 2011): 414–21. http://dx.doi.org/10.4028/www.scientific.net/amr.267.414.
Texto completoZhou, Bojian, Michiel C. J. Bliemer, Xuhong Li y Di Huang. "A modified truncated Newton algorithm for the logit-based stochastic user equilibrium problem". Applied Mathematical Modelling 39, n.º 18 (septiembre de 2015): 5415–35. http://dx.doi.org/10.1016/j.apm.2015.01.010.
Texto completoAltinoz, O. Tolga y A. Egemen Yilmaz. "Multiobjective Hooke–Jeeves algorithm with a stochastic Newton–Raphson-like step-size method". Expert Systems with Applications 117 (marzo de 2019): 166–75. http://dx.doi.org/10.1016/j.eswa.2018.09.033.
Texto completoKulkarni, Ankur A. y Vivek S. Borkar. "Finite dimensional approximation and Newton-based algorithm for stochastic approximation in Hilbert space". Automatica 45, n.º 12 (diciembre de 2009): 2815–22. http://dx.doi.org/10.1016/j.automatica.2009.09.031.
Texto completoWang, Xiaozhou y Xiaojun Chen. "Solving Two-Stage Stochastic Variational Inequalities by a Hybrid Projection Semismooth Newton Algorithm". SIAM Journal on Scientific Computing 45, n.º 4 (19 de julio de 2023): A1741—A1765. http://dx.doi.org/10.1137/22m1475302.
Texto completoLi, Changguo, Yongzhen Pei, Meixia Zhu y Yue Deng. "Parameter Estimation on a Stochastic SIR Model with Media Coverage". Discrete Dynamics in Nature and Society 2018 (12 de junio de 2018): 1–7. http://dx.doi.org/10.1155/2018/3187807.
Texto completoChen, Minghan, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz y Gisella Kakoti. "Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle". IEEE/ACM Transactions on Computational Biology and Bioinformatics 16, n.º 1 (1 de enero de 2019): 301–11. http://dx.doi.org/10.1109/tcbb.2017.2773083.
Texto completoMontes, Francisco y Jorge Mateu. "On the MLE for a spatial point pattern". Advances in Applied Probability 28, n.º 2 (junio de 1996): 339. http://dx.doi.org/10.1017/s0001867800048382.
Texto completoAbdulkadirov, R. I. y P. A. Lyakhov. "A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions". Computer Optics 47, n.º 1 (febrero de 2023): 160–69. http://dx.doi.org/10.18287/2412-6179-co-1147.
Texto completoDing, Liang y Jun Cao. "Electromagnetic Nondestructive Testing by Perturbation Homotopy Method". Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/895159.
Texto completoReyes, Jimmy, Inmaculada Barranco-Chamorro, Diego Gallardo y Héctor Gómez. "Generalized Modified Slash Birnbaum–Saunders Distribution". Symmetry 10, n.º 12 (6 de diciembre de 2018): 724. http://dx.doi.org/10.3390/sym10120724.
Texto completoHung, Ching Pui, Allan Sacha Brun, Alexandre Fournier, Laurène Jouve, Olivier Talagrand y Mustapha Zakari. "Towards Estimating the Solar Meridional Flow and Predicting the 11-yr Cycle Using Advanced Variational Data Assimilation Techniques". Proceedings of the International Astronomical Union 13, S335 (julio de 2017): 183–86. http://dx.doi.org/10.1017/s1743921317010754.
Texto completoBehboodi-Kahoo, Malihe y Saeed Ketabchi. "Parallel implementation of augmented Lagrangian method within L-shaped method for stochastic linear programs". Filomat 31, n.º 3 (2017): 799–808. http://dx.doi.org/10.2298/fil1703799b.
Texto completoCao, Pengfei y Xionglin Luo. "Performance Analysis of The Auxiliary-Model-Based Multi-Innovation Stochastic Newton Recursive Algorithm for Dual-Rate Systems". Asian Journal of Control 19, n.º 2 (18 de octubre de 2016): 647–58. http://dx.doi.org/10.1002/asjc.1395.
Texto completoSeerwan Sulieman Noon. "Estimation the Variogram Function Indicator which represent the Transmissivity Coefficient in the groundwater". Tikrit Journal of Pure Science 25, n.º 5 (18 de diciembre de 2020): 110–18. http://dx.doi.org/10.25130/tjps.v25i5.299.
Texto completoLeón, Roberto, Pablo A. Miranda-Gonzalez, Francisco J. Tapia-Ubeda y Elias Olivares-Benitez. "An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands". Mathematics 12, n.º 16 (17 de agosto de 2024): 2544. http://dx.doi.org/10.3390/math12162544.
Texto completoZhou, Wei y Jun Fang. "Probabilistic Analysis of Gun Barrel Ablation Life Based on the Modified Response Surface Model". Advanced Materials Research 1004-1005 (agosto de 2014): 1076–83. http://dx.doi.org/10.4028/www.scientific.net/amr.1004-1005.1076.
Texto completoRegulski, Piotr A., Jakub Zielinski, Bartosz Borucki y Krzysztof Nowinski. "A Weighted Stochastic Conjugate Direction Algorithm for Quantitative Magnetic Resonance Images—A Pattern in Ruptured Achilles Tendon T2-Mapping Assessment". Healthcare 10, n.º 5 (23 de abril de 2022): 784. http://dx.doi.org/10.3390/healthcare10050784.
Texto completoNikouei, Seyed Yahya, Behzad Mirzaeian Dehkordi y Mehdi Niroomand. "A Genetic-Based Hybrid Algorithm Harmonic Minimization Method for Cascaded Multilevel Inverters with ANFIS Implementation". Mathematical Problems in Engineering 2021 (21 de abril de 2021): 1–15. http://dx.doi.org/10.1155/2021/6642317.
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