Добірка наукової літератури з теми "Stochastic weights"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Stochastic weights".
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.
Статті в журналах з теми "Stochastic weights"
Xiong, Fenfen, Wei Chen, Ying Xiong, and Shuxing Yang. "Weighted stochastic response surface method considering sample weights." Structural and Multidisciplinary Optimization 43, no. 6 (February 3, 2011): 837–49. http://dx.doi.org/10.1007/s00158-011-0621-3.
Повний текст джерелаLi, Yan, and 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.
Повний текст джерелаGoldenberg, David H. "Beta Instability and Stochastic Market Weights." Management Science 31, no. 4 (April 1985): 415–21. http://dx.doi.org/10.1287/mnsc.31.4.415.
Повний текст джерелаCaraballo, Luis E., Pablo Pérez-Lantero, Carlos Seara, and Inmaculada Ventura. "Maximum Box Problem on Stochastic Points." Algorithmica 83, no. 12 (October 28, 2021): 3741–65. http://dx.doi.org/10.1007/s00453-021-00882-z.
Повний текст джерелаYang, Zao-li, and 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.
Повний текст джерелаGashi, Bujar. "Optimal stochastic regulators with state-dependent weights." Systems & Control Letters 134 (December 2019): 104522. http://dx.doi.org/10.1016/j.sysconle.2019.104522.
Повний текст джерелаXu, Liyan, Tony Vladusich, Fabing Duan, Lachlan J. Gunn, Derek Abbott, and Mark D. McDonnell. "Decoding suprathreshold stochastic resonance with optimal weights." Physics Letters A 379, no. 38 (October 2015): 2277–83. http://dx.doi.org/10.1016/j.physleta.2015.05.032.
Повний текст джерелаBrüggemann, Ralf, and Helmut Lütkepohl. "Forecasting contemporaneous aggregates with stochastic aggregation weights." International Journal of Forecasting 29, no. 1 (January 2013): 60–68. http://dx.doi.org/10.1016/j.ijforecast.2012.05.007.
Повний текст джерелаLiu, Qingliang, and Jinmei Lai. "Stochastic Loss Function." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4884–91. http://dx.doi.org/10.1609/aaai.v34i04.5925.
Повний текст джерелаGuo, Hao, Jiyong Jin, and Bin Liu. "Stochastic Weight Averaging Revisited." Applied Sciences 13, no. 5 (February 24, 2023): 2935. http://dx.doi.org/10.3390/app13052935.
Повний текст джерелаДисертації з теми "Stochastic weights"
Dohndorf, Iryna [Verfasser], Peter [Akademischer Betreuer] Buchholz, and Boudewijn R. [Gutachter] Haverkort. "Stochastic graph models with phase type distributed edge weights / Iryna Dohndorf ; Gutachter: Boudewijn R. Haverkort ; Betreuer: Peter Buchholz." Dortmund : Universitätsbibliothek Dortmund, 2017. http://d-nb.info/1134953046/34.
Повний текст джерелаMedeiros, Júnior Maurício da Silva. "Stochastic discount factor bounds and rare events: a review." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/16459.
Повний текст джерелаApproved for entry into archive by BRUNA BARROS (bruna.barros@fgv.br) on 2016-04-19T18:34:15Z (GMT) No. of bitstreams: 1 Dissertação - Maurício Medeiros Jr. - FGV-EPGE.pdf: 2837403 bytes, checksum: dc338c6b56e600b8b9194b1c27abb080 (MD5)
Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2016-04-27T18:16:31Z (GMT) No. of bitstreams: 1 Dissertação - Maurício Medeiros Jr. - FGV-EPGE.pdf: 2837403 bytes, checksum: dc338c6b56e600b8b9194b1c27abb080 (MD5)
Made available in DSpace on 2016-04-27T18:21:05Z (GMT). No. of bitstreams: 1 Dissertação - Maurício Medeiros Jr. - FGV-EPGE.pdf: 2837403 bytes, checksum: dc338c6b56e600b8b9194b1c27abb080 (MD5) Previous issue date: 2016-03-22
We aim to provide a review of the stochastic discount factor bounds usually applied to diagnose asset pricing models. In particular, we mainly discuss the bounds used to analyze the disaster model of Barro (2006). Our attention is focused in this disaster model since the stochastic discount factor bounds that are applied to study the performance of disaster models usually consider the approach of Barro (2006). We first present the entropy bounds that provide a diagnosis of the analyzed disaster model which are the methods of Almeida and Garcia (2012, 2016); Ghosh et al. (2016). Then, we discuss how their results according to the disaster model are related to each other and also present the findings of other methodologies that are similar to these bounds but provide different evidence about the performance of the framework developed by Barro (2006).
Silva, Emanuel Araújo. "MODELAGEM DINÂMICA PARA SIMULAÇÃO NO PROCESSO DE ARENIZAÇÃO E COBERTURA FLORESTAL NA CAMPANHA OCIDENTAL - RS." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/3781.
Повний текст джерелаA modelagem dinâmica é uma ferramenta útil para o conhecimento do uso e ocupação da terra, gerando diretrizes metodológicas associadas às questões ambientais, sociais e econômicas. Este trabalho teve por objetivo aplicar um modelo para simular a dinâmica no processo de arenização e cobertura florestal do Sudoeste do Rio Grande do Sul, denominada microrregião da Campanha Ocidental e, com base nessas técnicas, efetuar a projeção de cenários futuros. Foi utilizado um mosaico de imagens do satélite LANDSAT 5 sensor TM, que recobre a região de estudo nos anos de 1985, 1996 e 2011 e LANDSAT 8 sensor OLI no ano de 2013. Para elaboração da base de dados e processamento digital das imagens, utilizou-se o aplicativo SPRING. Após a classificação das imagens, foi realizado o cruzamento dos mapas temáticos com auxílio da programação LEGAL, e posteriormente, empregado a simulação dos cenários futuros por meio da modelagem com o aplicativo Dinamica EGO. Os resultados previstos para 2026 indicam que a cobertura florestal irá se expandir de 14,22% em 2011 para 15,03% no ano de 2026 da área total da Campanha Ocidental, demonstrando que o aumento da cobertura florestal encontra-se em processo de estabilização, concentrando-se suas áreas na parte leste, altitudes elevadas e nas bordas da rede de drenagem. Nos areais, a projeção demonstrou que sua área sofrerá retração de 0,37% em 2011 para 0,33% da área total da região em 2026, e sua concentração estará presente na parte leste, em altitudes elevadas e em torno da drenagem do rio Ibicui.
Menz, William Jefferson. "Stochastic modelling of silicon nanoparticle synthesis." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/245146.
Повний текст джерелаKindl, Mark Richard. "A stochastic approach to path planning in the Weighted-Region Problem." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26789.
Повний текст джерелаRattana, Prapanporn. "Mean-field-like approximations for stochastic processes on weighted and dynamic networks." Thesis, University of Sussex, 2015. http://sro.sussex.ac.uk/id/eprint/56600/.
Повний текст джерелаHilton, Cary Allen. "A stochastic approach to solving the 2 _x001B_p1_x001B_s/_x001B_b2_x001B_s dimensional weighted region problem." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28563.
Повний текст джерелаXu, Zhouyi. "Stochastic Modeling and Simulation of Gene Networks." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/645.
Повний текст джерелаMichel, Simon [Verfasser]. "Stochastic evolution equations in weighted L² spaces with jump noise / Simon Michel. Fakultät für Mathematik." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2012. http://d-nb.info/1022030078/34.
Повний текст джерелаSzyszkowicz, B. (Barbara) Carleton University Dissertation Mathematics. "Weak convergence of stochastic processes in weighted metrics and their applications to contiguous changepoint analysis." Ottawa, 1992.
Знайти повний текст джерелаКниги з теми "Stochastic weights"
Dohndorf, Iryna. Stochastic graph models with phase type distributed edge weights. Dortmund: Universitätsbibliothek Dortmund, 2017.
Знайти повний текст джерелаLajos, Horváth, ed. Weighted approximations in probability and statistics. Chichester: Wiley, 1993.
Знайти повний текст джерелаKindl, Mark Richard. A stochastic approach to path planning in the Weighted-Region Problem. Monterey, Calif: Naval Postgraduate School, 1991.
Знайти повний текст джерелаHilton, Cary Allen. A stochastic approach to solving the 2 ¹/ dimensional weighted region problem. Monterey, Calif: Naval Postgraduate School, 1991.
Знайти повний текст джерелаKindl, Mark R. A stochastic approach to the weighted-region problem: 1. the design of the path annealing algorithm. Monterey, Calif: Naval Postgraduate School, 1991.
Знайти повний текст джерелаP, McCormick William, ed. Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications. Providence, R.I: American Mathematical Society, 2009.
Знайти повний текст джерелаAlexander, Meskhi, and Persson Lars Erik 1944-, eds. Weighted norm inequalities for integral transforms with product kernals. Hauppauge, NY: Nova Science Publishers, 2009.
Знайти повний текст джерелаCoolen, A. C. C., A. Annibale, and E. S. Roberts. Random graph ensembles. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0003.
Повний текст джерелаL, Taylor Robert. Stochastic Convergence of Weighted Sums of Random Elements in Linear Spaces. Springer London, Limited, 2006.
Знайти повний текст джерелаBack, Kerry E. Alternative Preferences. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0025.
Повний текст джерелаЧастини книг з теми "Stochastic weights"
Rigatos, Gerasimos G. "Attractors in Associative Memories with Stochastic Weights." In Advanced Models of Neural Networks, 191–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43764-3_10.
Повний текст джерелаRigatos, Gerasimos G. "Spectral Analysis of Neural Models with Stochastic Weights." In Advanced Models of Neural Networks, 207–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43764-3_11.
Повний текст джерелаWu, Ying, Colin Fyfe, and Pei Ling Lai. "Stochastic Weights Reinforcement Learning for Exploratory Data Analysis." In Lecture Notes in Computer Science, 668–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74690-4_68.
Повний текст джерелаBirnbaum, Michael H. "The Paradoxes of Allais, Stochastic Dominance, and Decision Weights." In Decision Science and Technology, 27–52. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5089-1_3.
Повний текст джерелаScholz, Roland W. "The ‘Base-Rate Fallacy’ — Heuristics and/or the Modeling of Judgmental Biases by Information Weights." In Cognitive Strategies in Stochastic Thinking, 10–56. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3825-0_2.
Повний текст джерелаLee, Haesung, Wilhelm Stannat, and Gerald Trutnau. "The Abstract Cauchy Problem in L r-Spaces with Weights." In Analytic Theory of Itô-Stochastic Differential Equations with Non-smooth Coefficients, 9–57. Singapore: Springer Nature Singapore, 2012. http://dx.doi.org/10.1007/978-981-19-3831-3_2.
Повний текст джерелаKrylov, Nicolai V. "On Parabolic Pdes and Spdes in Sobolev Spaces W P 2 without and with Weights." In Topics in Stochastic Analysis and Nonparametric Estimation, 151–97. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75111-5_8.
Повний текст джерелаBroadie, Mark, Paul Glasserman, and Zachary Ha. "Pricing American Options by Simulation Using a Stochastic Mesh with Optimized Weights." In Nonconvex Optimization and Its Applications, 26–44. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3150-7_2.
Повний текст джерелаBiehl, Michael. "The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios." In Lecture Notes in Computer Science, 128–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_10.
Повний текст джерелаSala, Dariusz, and Bogusław Bieda. "Role of Stochastic Approach Applied to Life Cycle Inventory (LCI) of Rare Earth Elements (REEs) from Secondary Sources Case Studies." In Towards a Sustainable Future - Life Cycle Management, 107–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77127-0_10.
Повний текст джерелаТези доповідей конференцій з теми "Stochastic weights"
Fukuda, Yasushi, and Takayuki Kawahara. "Stochastic weights binary neural networks on FPGA." In 2018 7th International Symposium on Next Generation Electronics (ISNE). IEEE, 2018. http://dx.doi.org/10.1109/isne.2018.8394726.
Повний текст джерелаFarhat, Nabil H., and Zon Yin Shae. "A Stochastic Optoelectronic Learning Machine." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.pdp13.
Повний текст джерелаRusnak, Rastislav, and Rudolf Jaksa. "Stochastic weights and neurons selection in neural networks for weather prediction." In 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2016. http://dx.doi.org/10.1109/sami.2016.7423034.
Повний текст джерелаChunfu Jia. "Stochastic single machine scheduling with earliness and tardiness penalties and proportional weights." In Proceedings of 2002 American Control Conference. IEEE, 2002. http://dx.doi.org/10.1109/acc.2002.1025351.
Повний текст джерелаTabacek, Jaroslav, and Vladimir Havlena. "Desensitized Extended Kalman Filter with Stochastic Approach to Sensitivity Reduction and Adaptive Weights." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841381.
Повний текст джерелаHall, T. J., W. Peiffer, M. Hands, H. Thienpont, W. A. Crossland, J. S. Shawe-Taylor, and M. van Daalen. "Considerations of the Optical and Opto-electronic Hardware Requirements for Implementation of Stochastic Bit-stream Neural Nets." In Optical Computing. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/optcomp.1995.otue18.
Повний текст джерелаCaniou, Yves, Eddy Caron, Aurelie Kong Win Chang, and Yves Robert. "Budget-Aware Scheduling Algorithms for Scientific Workflows with Stochastic Task Weights on Heterogeneous IaaS Cloud Platforms." In 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2018. http://dx.doi.org/10.1109/ipdpsw.2018.00014.
Повний текст джерелаZuo, Lei, and Samir A. Nayfeh. "Adaptive Least-Mean Square Feed-Forward Control With Actuator Saturation by Direct Minimization." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85494.
Повний текст джерелаNoura, A. A., and M. Nozohour. "Extension of ranking method based on effectiveness of units in society by common weights approach in stochastic DEA." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823896.
Повний текст джерелаSambaturu, Prathyush, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, and Anil Vullikanti. "Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/717.
Повний текст джерелаЗвіти організацій з теми "Stochastic weights"
Snyder, Victor A., Dani Or, Amos Hadas, and S. Assouline. Characterization of Post-Tillage Soil Fragmentation and Rejoining Affecting Soil Pore Space Evolution and Transport Properties. United States Department of Agriculture, April 2002. http://dx.doi.org/10.32747/2002.7580670.bard.
Повний текст джерела