Výsledky vyhledávání - "Importance sampling"

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems

Autoři: Yang, Xiaomi Imberg, Henrik Flannagan, Carol Ann Cook a další

Zdroj: Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT).

Témata: machine learning, virtual safety impact assessment, active sampling, domain knowledge, crash-causation model, importance sampling, glance behavior

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/545464
https://research.chalmers.se/publication/545464/file/545464_Fulltext.pdf

Reliability-based design tool for gas storage in lined rock caverns

Autoři: Damasceno, Davi Rodrigues Spross, Johan Johansson, Fredrik

Zdroj: Georisk. 18:410-422

Témata: lined rock cavern (LRC), reliability-based analysis, adaptive directional importance sampling (ADIS), finite element (FE) analysis, gas storage

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321071
https://doi.org/10.1080/17499518.2023.2188467

Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Autoři: Karamanis, Minas Seljak, Uroš

Zdroj: Statistics and Computing. 35(5)

Témata: 49 Mathematical Sciences (for-2020), 4905 Statistics (for-2020), 1.4 Methodologies and measurements (hrcs-rac), Generic health relevance (hrcs-hc), Sequential Monte Carlo, Importance sampling, Marginal likelihood, Bayesian inference, 0104 Statistics (for), 0802 Computation Theory and Mathematics (for), Statistics & Probability (science-metrix), 4901 Applied mathematics (for-2020), 4903 Numerical and computational mathematics (for-2020), 4905 Statistics (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/5qc8f2mx
https://escholarship.org/content/qt5qc8f2mx/qt5qc8f2mx.pdf

Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data

Autoři: Christoffersen, Benjamin Mahjani, Behrang Clements, Mark a další

Zdroj: Journal of Computational And Graphical Statistics. 32(4):1393-1401

Témata: Family-based studies, Generalized linear mixed model, Importance sampling

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-350088
https://doi.org/10.1080/10618600.2022.2151454

Application of the Random Ray Method to Variance Reduction in Radiation Shielding Problems

Autoři: Valeria Raffuzzi Rufus Neame Paul Cosgrove a další

Přispěvatelé: Valeria Raffuzzi Rufus Neame Paul Cosgrove a další

Zdroj: Nuclear Science and Engineering. :1-18

Témata: random ray method, Variance reduction, Forward-Weighted Consistent Adjoint-Driven Importance Sampling, Consistent Adjoint-Driven Importance Sampling

Popis souboru: application/pdf

Přístupová URL adresa: https://www.repository.cam.ac.uk/handle/1810/379533
https://doi.org/10.1080/00295639.2025.2458958
https://doi.org/10.17863/cam.115597

Heterogeneous Hypernetwork Representation Learning Based on Importance Sampling

Autoři: XIA Qingqing, ZHU Yu, WANG Xiaoying, HUANG Jianqiang, CAO Tengfei

Zdroj: Jisuanji gongcheng, Vol 51, Iss 11, Pp 133-143 (2025)

Témata: representation learning, high-order tuple relation, importance sampling, data augmentation, negative sampling enhancement, link prediction, hypernetwork reconstruction, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-11-133.pdf; https://doaj.org/toc/1000-3428

Přístupová URL adresa: https://doaj.org/article/95c9402776ab4c46828d1dadf19ab7f9

An importance sampling vortex particle method for turbulence visualization simulation in maritime simulators

Autoři: Tianhui Zhu Hongxiang Ren Rui Tao a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Témata: Maritime simulator, Vortex particle method, Importance sampling, Computer graphics, Ocean scene visualization, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/5603cdc6d62d448baea3a547cc677197

An Extension of the Unified Skew-Normal Family of Distributions and its Application to Bayesian Binary Regression

Autoři: Paolo Onorati Brunero Liseo

Zdroj: Journal of Computational and Graphical Statistics. :1-14

Témata: Methodology (stat.ME), FOS: Computer and information sciences, 0502 economics and business, 05 social sciences, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), 0101 mathematics, 01 natural sciences, Statistics - Methodology, Importance sampling, Kolmogorov distribution, Logistic regression, Scale mixture of Gaussian densities

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2209.03474

Likelihood Scouting via Map Inversion for a Posterior-Sampled Particle Filter

Autoři: Simone Servadio Department of Aerospace Engineering

Přispěvatelé: Simone Servadio Department of Aerospace Engineering

Zdroj: IEEE Transactions on Aerospace and Electronic Systems. 61:505-521

Témata: DegreeDisciplines::Physical Sciences and Mathematics::Computer Sciences::Theory and Algorithms, FOS: Computer and information sciences, Differential Algebra, Computer Science - Information Theory, Information Theory (cs.IT), Orbit Determination, DegreeDisciplines::Engineering::Aerospace Engineering, Particle Filtering, Sequential Importance Sampling

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2408.10454

Sampling Low-Fidelity Outputs for Estimation of High-Fidelity Density and Its Tails: Sampling low-fidelity outputs for estimation of high-fidelity density and its tails

Autoři: Minji Kim Kevin O’Connor Vladas Pipiras a další

Zdroj: SIAM/ASA Journal on Uncertainty Quantification. 13:30-62

Témata: FOS: Computer and information sciences, ship motions, Statistics of extreme values, tail inference, generalized Pareto distribution, extremes, multifidelity, Methodology (stat.ME), Density estimation, optimality, importance sampling, Sampling theory, sample surveys, probability density function, regression, kernel-smoothing estimation, Statistics - Methodology

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2402.17984

Exploiting the precision of FORM and the accuracy of importance sampling for estimating failure probability and its sensitivity

Autoři: Valdebenito, Marcos A. Faes, Matthias G.R.

Zdroj: Civil Engineering and Environmental Systems. 42:76-94

Témata: Technology, Engineering, Civil, Science & Technology, Environmental Engineering, splitting, STRUCTURAL RELIABILITY, Failure probability, control variates, 0905 Civil Engineering, CRITICAL-APPRAISAL, 4005 Civil engineering, 0907 Environmental Engineering, Engineering, importance sampling, sensitivity analysis, first-order reliability method, OPTIMIZATION

Přístupová URL adresa: https://lirias.kuleuven.be/handle/20.500.12942/766285
https://doi.org/10.1080/10286608.2024.2446733

Active Sampling: A Machine-Learning-Assisted Framework for Finite Population Inference with Optimal Subsamples

Autoři: Imberg, Henrik Yang, Xiaomi Flannagan, Carol a další

Zdroj: TECHNOMETRICS. 67(1):46-57

Témata: Computer and Information Sciences, Data- och informationsvetenskap (Datateknik), Active learning, Adaptive importance sampling, Computer simulation experiments, Inverse probability weighting, Optimal design, Traffic safety assessment

Přístupová URL adresa: https://gup.ub.gu.se/publication/341566

A Proximal Newton Adaptive Importance Sampler

Autoři: Elvira, Víctor Chouzenoux, Émilie Akyildiz, O. Deniz a další

Přispěvatelé: Elvira, Víctor Chouzenoux, Émilie Akyildiz, O. Deniz a další

Zdroj: IEEE Signal Processing Letters

Témata: Adaptive importance sampling, Methodology (stat.ME), FOS: Computer and information sciences, Newton algorithm, preconditioning, Monte Carlo methods, Statistics - Computation, proximal methods, Statistics - Methodology, Computation (stat.CO), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2412.16558
https://inria.hal.science/hal-04995525v1

Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance

Autoři: Xin Zhao Zeyuan Gao Meng Li a další

Zdroj: IEEE Access, Vol 13, Pp 49630-49642 (2025)

Témata: Composite curing, convolutional neural networks, electro-mechanical impedance, Electrical engineering. Electronics. Nuclear engineering, multi-modal learning, importance sampling algorithm, TK1-9971

Přístupová URL adresa: https://doaj.org/article/449e9944b27146dfb930b1bca58a4c27

Efficient radiation treatment planning based on voxel importance

Autoři: Mair, Sebastian Fu, Anqi Sjölund, Jens, Biträdande lektor

Zdroj: Physics in Medicine and Biology. 69(16)

Témata: radiation treatment planning, importance sampling, subsampling, optimization

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-536950
https://doi.org/10.1088/1361-6560/ad68bd

MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning

Autoři: Dymchenko, Sofya Purandare, Abhishek Raffin, Bruno

Přispěvatelé: Dymchenko, Sofya Purandare, Abhishek Raffin, Bruno

Zdroj: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. :32-40

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Surrogates, Active Learning, Adaptive Multiple Importance Sampling, On-line Training, Data-efficiency, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2410.05860
https://hal.univ-brest.fr/hal-04712480v1

Data Science for Wind Energy

Autoři: Ding, Yu

Témata: Bayesian Additive Regression Trees, SVM Model, Power Curve Model, Wind Speed, GEV Distribution, PACF Plot, Wind Turbine, Binning Method, Local Wind Field, ARMA Model, Wind Field Analysis, Ahead Forecast, Wind Speed Forecast, Power Curve, Wind Farm, Data Science Methods, Test Turbine, Importance Sampling Density, Be, GMRF Model, Computer Simulators, CMC, Power Coefficient, Importance Sampling Method, Posterior Predictive Distribution, Data mining, Alternative and renewable energy sources and technology, Artificial intelligence, Probability and statistics

Popis souboru: application/pdf

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/101466

Relative importance sampling for off-policy actor-critic in deep reinforcement learning

Autoři: Mahammad Humayoo Gengzhong Zheng Xiaoqing Dong a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: Actor-critic (AC), Discrepancy, Variance, Importance sampling (IS), Off-policy, Relative importance sampling (RIS), Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/b8421b061dee44238f6d5faa46b5f811

Monte Carlo Estimation of CoVaR: Monte Carlo estimation of CoVaR

Autoři: Weihuan Huang Nifei Lin L. Jeff Hong

Zdroj: Operations Research. 72:2337-2357

Témata: CoVaR, batching, 0211 other engineering and technologies, Mathematical programming, 02 engineering and technology, FOS: Economics and business, importance sampling, statistical analysis, Risk Management (q-fin.RM), systemic risk, 0202 electrical engineering, electronic engineering, information engineering, Monte Carlo simulation, delta-gamma approximation, Quantitative Finance - Risk Management

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2210.06148

Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation: Adaptive importance sampling for efficient stochastic root finding and quantile estimation

Autoři: Shengyi He Guangxin Jiang Henry Lam a další

Zdroj: Operations Research. 72:2612-2630

Témata: FOS: Computer and information sciences, Probability (math.PR), central limit theorem, 0211 other engineering and technologies, Mathematical programming, 02 engineering and technology, stochastic optimization, 01 natural sciences, Methodology (stat.ME), adaptive algorithms, importance sampling, Optimization and Control (math.OC), FOS: Mathematics, stochastic root finding, 0101 mathematics, quantile estimation, Mathematics - Optimization and Control, Monte Carlo simulation, Statistics - Methodology, Mathematics - Probability

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2102.10631