Artículos de revistas sobre el tema "Stochastic weights"
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Xiong, Fenfen, Wei Chen, Ying Xiong y Shuxing Yang. "Weighted stochastic response surface method considering sample weights". Structural and Multidisciplinary Optimization 43, n.º 6 (3 de febrero de 2011): 837–49. http://dx.doi.org/10.1007/s00158-011-0621-3.
Texto completoLi, Yan y Yi Shen. "Preserving Global Exponential Stability of Hybrid BAM Neural Networks with Reaction Diffusion Terms in the Presence of Stochastic Noise and Connection Weight Matrices Uncertainty". Mathematical Problems in Engineering 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/486052.
Texto completoGoldenberg, David H. "Beta Instability and Stochastic Market Weights". Management Science 31, n.º 4 (abril de 1985): 415–21. http://dx.doi.org/10.1287/mnsc.31.4.415.
Texto completoCaraballo, Luis E., Pablo Pérez-Lantero, Carlos Seara y Inmaculada Ventura. "Maximum Box Problem on Stochastic Points". Algorithmica 83, n.º 12 (28 de octubre de 2021): 3741–65. http://dx.doi.org/10.1007/s00453-021-00882-z.
Texto completoYang, Zao-li y Lu-cheng Huang. "Dynamic Stochastic Multiattribute Decision-Making That Considers Stochastic Variable Variance Characteristics under Time-Sequence Contingency Environments". Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7126856.
Texto completoGashi, Bujar. "Optimal stochastic regulators with state-dependent weights". Systems & Control Letters 134 (diciembre de 2019): 104522. http://dx.doi.org/10.1016/j.sysconle.2019.104522.
Texto completoXu, Liyan, Tony Vladusich, Fabing Duan, Lachlan J. Gunn, Derek Abbott y Mark D. McDonnell. "Decoding suprathreshold stochastic resonance with optimal weights". Physics Letters A 379, n.º 38 (octubre de 2015): 2277–83. http://dx.doi.org/10.1016/j.physleta.2015.05.032.
Texto completoBrüggemann, Ralf y Helmut Lütkepohl. "Forecasting contemporaneous aggregates with stochastic aggregation weights". International Journal of Forecasting 29, n.º 1 (enero de 2013): 60–68. http://dx.doi.org/10.1016/j.ijforecast.2012.05.007.
Texto completoLiu, Qingliang y Jinmei Lai. "Stochastic Loss Function". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4884–91. http://dx.doi.org/10.1609/aaai.v34i04.5925.
Texto completoGuo, Hao, Jiyong Jin y Bin Liu. "Stochastic Weight Averaging Revisited". Applied Sciences 13, n.º 5 (24 de febrero de 2023): 2935. http://dx.doi.org/10.3390/app13052935.
Texto completoYamada, Toshihiro. "A weak approximation with Malliavin weights for local stochastic volatility model". International Journal of Financial Engineering 04, n.º 01 (marzo de 2017): 1750002. http://dx.doi.org/10.1142/s2424786317500025.
Texto completoLiu, Xiaoyue, Xiaolu Wang, Li Zhang y Qinghua Zeng. "A novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance with incomplete weight information". Kybernetes 48, n.º 9 (7 de octubre de 2019): 2030–64. http://dx.doi.org/10.1108/k-08-2018-0438.
Texto completoAlsmeyer, Gerold y Uwe Rösler. "A Stochastic Fixed Point Equation Related to Weighted Branching with Deterministic Weights". Electronic Journal of Probability 11 (2006): 27–56. http://dx.doi.org/10.1214/ejp.v11-296.
Texto completoMayer, Axel y Felix Thoemmes. "Analysis of Variance Models with Stochastic Group Weights". Multivariate Behavioral Research 54, n.º 4 (20 de enero de 2019): 542–54. http://dx.doi.org/10.1080/00273171.2018.1548960.
Texto completoZhou, Bingchang, Xuelin Wang y Qianqian Qi. "Optimal weights decoding of M-ary suprathreshold stochastic resonance in stochastic pooling network". Chinese Journal of Physics 56, n.º 4 (agosto de 2018): 1718–26. http://dx.doi.org/10.1016/j.cjph.2018.06.010.
Texto completoSbert, Mateu, Jordi Poch, Shuning Chen y Víctor Elvira. "Stochastic Order and Generalized Weighted Mean Invariance". Entropy 23, n.º 6 (25 de mayo de 2021): 662. http://dx.doi.org/10.3390/e23060662.
Texto completoSTACEY, ALAN. "Searches on a Binary Tree with Random Edge-Weights". Combinatorics, Probability and Computing 8, n.º 6 (noviembre de 1999): 555–65. http://dx.doi.org/10.1017/s0963548399004083.
Texto completoXia, Meimei. "Choquet-Integral-Based Data Envelopment Analysis with Stochastic Multicriteria Acceptability Analysis". Symmetry 14, n.º 4 (22 de marzo de 2022): 642. http://dx.doi.org/10.3390/sym14040642.
Texto completoBernier, O. "Stochastic Analysis of Synchronous Neural Networks with Asymmetric Weights". Europhysics Letters (EPL) 16, n.º 6 (7 de octubre de 1991): 531–36. http://dx.doi.org/10.1209/0295-5075/16/6/004.
Texto completoRobert, Philippe y Amandine Véber. "A stochastic analysis of resource sharing with logarithmic weights". Annals of Applied Probability 25, n.º 5 (octubre de 2015): 2626–70. http://dx.doi.org/10.1214/14-aap1057.
Texto completoGupta, Abhimanyu. "ESTIMATION OF SPATIAL AUTOREGRESSIONS WITH STOCHASTIC WEIGHT MATRICES". Econometric Theory 35, n.º 2 (3 de mayo de 2018): 417–63. http://dx.doi.org/10.1017/s0266466618000142.
Texto completoChen, Kai y Sheldon M. Ross. "STATIC STOCHASTIC KNAPSACK PROBLEMS". Probability in the Engineering and Informational Sciences 29, n.º 4 (octubre de 2015): 527–46. http://dx.doi.org/10.1017/s0269964815000170.
Texto completoMukherjee, Sayandev y Terrence L. Fine. "Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution". Neural Computation 8, n.º 5 (julio de 1996): 1075–84. http://dx.doi.org/10.1162/neco.1996.8.5.1075.
Texto completoElustondo, D., S. Avramidis y L. Oliveira. "Estimation of green moisture content distribution in hemfir timber by stochastic simulation". Holzforschung 58, n.º 4 (7 de julio de 2004): 413–17. http://dx.doi.org/10.1515/hf.2004.062.
Texto completoToktaş, Pelin y Gülin Feryal Can. "Stochastic KEMIRA-M Approach with Consistent Weightings". International Journal of Information Technology & Decision Making 18, n.º 03 (mayo de 2019): 793–831. http://dx.doi.org/10.1142/s0219622019500123.
Texto completoShang, Ke, Felix T. S. Chan, Stephen Karungaru, Kenji Terada, Zuren Feng y Liangjun Ke. "Two-Stage Robust Optimization for the Orienteering Problem with Stochastic Weights". Complexity 2020 (12 de noviembre de 2020): 1–15. http://dx.doi.org/10.1155/2020/5649821.
Texto completoHou, Yuchen y Lawrence B. Holder. "On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction". Journal of Artificial Intelligence and Soft Computing Research 9, n.º 1 (1 de enero de 2019): 21–40. http://dx.doi.org/10.2478/jaiscr-2018-0022.
Texto completoKalpazidou, S. "Invariant stochastic properties of a class of directed circuits". Journal of Applied Probability 28, n.º 4 (diciembre de 1991): 727–36. http://dx.doi.org/10.2307/3214676.
Texto completoKalpazidou, S. "Invariant stochastic properties of a class of directed circuits". Journal of Applied Probability 28, n.º 04 (diciembre de 1991): 727–36. http://dx.doi.org/10.1017/s0021900200042649.
Texto completoArlotto, Alessandro y Xinchang Xie. "Logarithmic Regret in the Dynamic and Stochastic Knapsack Problem with Equal Rewards". Stochastic Systems 10, n.º 2 (junio de 2020): 170–91. http://dx.doi.org/10.1287/stsy.2019.0055.
Texto completoXie, Qian, Changhui Mu, Tong Wang, Gang Wu y Rong Jia. "Finite-Time Projective Lag Synchronization and Identification between Multiple Weights Markovian Jumping Complex Networks with Stochastic Perturbations". Complexity 2020 (8 de abril de 2020): 1–25. http://dx.doi.org/10.1155/2020/9713652.
Texto completoJarrahiferiz, Jalil, G. R. Mohtashami Borzadaran y A. H. Rezaei Roknabadi. "Glaser’s function and stochastic orders for mixture distributions". International Journal of Quality & Reliability Management 33, n.º 8 (5 de septiembre de 2016): 1230–38. http://dx.doi.org/10.1108/ijqrm-04-2013-0072.
Texto completoLevy, Haim. "First Degree Stochastic Dominance Violations: Decision Weights and Bounded Rationality". Economic Journal 118, n.º 528 (19 de marzo de 2008): 759–74. http://dx.doi.org/10.1111/j.1468-0297.2008.02141.x.
Texto completoRamponi, Alessandro. "Stochastic adaptive selection of weights in the simulated tempering algorithm". Journal of the Italian Statistical Society 7, n.º 1 (abril de 1998): 27–55. http://dx.doi.org/10.1007/bf03178920.
Texto completoRezvanian, Alireza y Mohammad Reza Meybodi. "Finding Maximum Clique in Stochastic Graphs Using Distributed Learning Automata". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, n.º 01 (febrero de 2015): 1–31. http://dx.doi.org/10.1142/s0218488515500014.
Texto completoDu, Jiangze. "Modifying Olympics Medal Table via a Stochastic Multicriteria Acceptability Analysis". Mathematical Problems in Engineering 2018 (15 de agosto de 2018): 1–11. http://dx.doi.org/10.1155/2018/8729158.
Texto completovon Hardenberg, J., L. Ferraris, N. Rebora y A. Provenzale. "Meteorological uncertainty and rainfall downscaling". Nonlinear Processes in Geophysics 14, n.º 3 (22 de mayo de 2007): 193–99. http://dx.doi.org/10.5194/npg-14-193-2007.
Texto completoDong, Hou y Gong. "Algorithm for Neutrosophic Soft Sets in Stochastic Multi-Criteria Group Decision Making Based on Prospect Theory". Symmetry 11, n.º 9 (29 de agosto de 2019): 1085. http://dx.doi.org/10.3390/sym11091085.
Texto completoLiu, Xikui, Guiling Li y Yan Li. "Stochastic Linear Quadratic Optimal Control with Indefinite Control Weights and Constraint for Discrete-Time Systems". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/476545.
Texto completoSun, Gao Rong. "Stochastic Response Surface Method with Enhanced Weighting Strategy". Applied Mechanics and Materials 224 (noviembre de 2012): 272–79. http://dx.doi.org/10.4028/www.scientific.net/amm.224.272.
Texto completoHamm, Lonnie, B. Wade Brorsen y Martin T. Hagan. "Comparison of Stochastic Global Optimization Methods to Estimate Neural Network Weights". Neural Processing Letters 26, n.º 3 (1 de septiembre de 2007): 145–58. http://dx.doi.org/10.1007/s11063-007-9048-7.
Texto completoEvers, Lanah, Kristiaan Glorie, Suzanne van der Ster, Ana Isabel Barros y Herman Monsuur. "A two-stage approach to the orienteering problem with stochastic weights". Computers & Operations Research 43 (marzo de 2014): 248–60. http://dx.doi.org/10.1016/j.cor.2013.09.011.
Texto completoArab, Idir y Paulo Eduardo Oliveira. "ITERATED FAILURE RATE MONOTONICITY AND ORDERING RELATIONS WITHIN GAMMA AND WEIBULL DISTRIBUTIONS". Probability in the Engineering and Informational Sciences 33, n.º 1 (24 de enero de 2018): 64–80. http://dx.doi.org/10.1017/s0269964817000481.
Texto completoWu, Ji, Xian Cheng y Stephen Shaoyi Liao. "Tourism forecast combination using the stochastic frontier analysis technique". Tourism Economics 26, n.º 7 (8 de agosto de 2019): 1086–107. http://dx.doi.org/10.1177/1354816619868089.
Texto completoDAVIDSON, A. y A. GANESH. "Maximal Steiner Trees in the Stochastic Mean-Field Model of Distance". Combinatorics, Probability and Computing 26, n.º 6 (27 de julio de 2017): 826–38. http://dx.doi.org/10.1017/s0963548317000220.
Texto completoIskander, Maged George. "Using the weighted max–min approach for stochastic fuzzy goal programming: A case of fuzzy weights". Applied Mathematics and Computation 188, n.º 1 (mayo de 2007): 456–61. http://dx.doi.org/10.1016/j.amc.2006.09.137.
Texto completoEl-Wahed Khalifa, Hamiden Abd, Pavan Kumar y Sultan S. Alodhaibi. "Stochastic Multi-Objective Programming Problem: A Two-Phase Weighted Coefficient Approach". Mathematical Modelling of Engineering Problems 8, n.º 6 (22 de diciembre de 2021): 854–60. http://dx.doi.org/10.18280/mmep.080603.
Texto completoRuß, Matthias, Gunther Gust y Dirk Neumann. "The Constrained Reliable Shortest Path Problem in Stochastic Time-Dependent Networks". Operations Research 69, n.º 3 (mayo de 2021): 709–26. http://dx.doi.org/10.1287/opre.2020.2089.
Texto completoKrishnan, Ranganath, Mahesh Subedar y Omesh Tickoo. "Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4477–84. http://dx.doi.org/10.1609/aaai.v34i04.5875.
Texto completoMoreno Roa, Carmenza, Adolfo Andrés Jaramillo Matta y Juan David Bastidas Rodríguez. "Stochastic Search Technique with Variable Deterministic Constraints for the Estimation of Induction Motor Parameters". Energies 13, n.º 1 (6 de enero de 2020): 273. http://dx.doi.org/10.3390/en13010273.
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