Search Results - "Importance sampling algorithm"

A novel adaptive importance sampling algorithm for Bayesian model updating by Xiao, Xiong, Li, Quanwang, Wang, Zeyu

“…•A novel adaptive importance sampling-based Bayesian model updating algorithm is proposed.•A stopping criteria called N-ESS is adopted to terminate the…”
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AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities by Zhang, Wei, Zhao, Ziyi, Xu, Huanwei, Li, Xiaoyu, Wang, Zhonglai

“…•Gibbs importance sampling algorithm is derived based on Gibbs algorithm aims to effectively establish the candidate importance sample pool…”
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Estimating predictive failure probability and its update under newly available observations by a layered cluster importance sampling algorithm by Li, Zhen, Lu, Zhenzhou

“…When there is uncertainty in the input variables and their corresponding distribution parameters, the predictive failure probability (PFP) is used to quantify…”
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Cloud—based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure by Dhaya, R., Kanthavel, R.

“…Enhancing Security infrastructure in the cloud data center has been a typical task that includes tracking human motion and their body parts under dynamic…”
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A Sequential Importance Sampling Algorithm for Generating Random Graphs with Prescribed Degrees by Blitzstein, Joseph, Diaconis, Persi

“…Random graphs with given degrees are a natural next step in complexity beyond the Erdős-Rényi model, yet the degree constraint greatly complicates simulation…”
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An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions by Li, Weixuan, Lin, Guang

“… This difficulty is particularly challenging when the posterior is multimodal. We present in this paper an adaptive importance sampling algorithm to tackle these challenges…”
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Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines by Prat Pou, Arnau, Romero, Enrique, Martí, Jordi, Mazzanti, Ferran

“…Probabilistic models in physics often require the evaluation of normalized Boltzmann factors, which in turn implies the computation of the partition function…”
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Computing Simplicial Depth by Using Importance Sampling Algorithm and Its Application by Meng, Fanyu, Shao, Wei, Su, Yuxia

“… In this study, we design an importance sampling algorithm for the computation of simplicial depth…”
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A K-Means Clustering-Based Multiple Importance Sampling Algorithm for Integral Global Optimization by Wang, Chen, Wu, Dong-Hua

“…In this paper, we propose a K-means clustering-based integral level-value estimation algorithm to solve a kind of box-constrained global optimization problem…”
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Performance and Robustness of the Monte Carlo Importance Sampling Algorithm Using Parallelized S-ADAPT for Basic and Complex Mechanistic Models by Bulitta, Jurgen B., Landersdorfer, Cornelia B.

“…The Monte Carlo Parametric Expectation Maximization (MC-PEM) algorithm can approximate the true log-likelihood as precisely as needed and is efficiently…”
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A novel adaptive importance sampling algorithm based on Markov chain and low-discrepancy sequence by Yuan, Xiukai, Lu, Zhenzhou, Zhou, Changcong, Yue, Zhufeng

“…A novel adaptive importance sampling method is proposed to estimate the structural failure probability. It properly utilizes Markov chain algorithm to form an…”
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An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions by Li, Weixuan, Lin, Guang

“… This difficulty is particularly challenging when the posterior is multimodal. We present in this paper an adaptive importance sampling algorithm to tackle these challenges…”
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A general importance sampling algorithm for estimating portfolio loss probabilities in linear factor models by Scott, Alexandre, Metzler, Adam

“…This paper develops a novel importance sampling algorithm for estimating the probability of large portfolio losses in the conditional independence framework…”
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AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks by Cheng, J., Druzdzel, M. J.

“… To address this problem, we propose an adaptive importance sampling algorithm, AIS-BN, that shows promising convergence rates even under extreme conditions and seems to outperform the existing…”
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An upgraded version of an importance sampling algorithm for large scale shell model calculations by D, Bianco, F, Andreozzi, N, Lo Iudice, A, Porrino, S, Dimitrova

“…An importance sampling iterative algorithm, developed few years ago, for generating exact eigensolutions of large matrices is upgraded so as to allow large…”
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Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance by Gao, Zeyuan, Zhao, Xin, Li, Meng, Han, Zhibin, Zhu, Jianjian

“… This study develops the Importance Sampling Algorithm-optimized Multi-Modal CNNs (ISA-MM-CNNs) paradigm for EMI-based evaluation of composite curing processes…”
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Human Upper Body Post Estimation Based On Modified Multiple Importance Sampling Algorithm by M, Mahalakshmi, D, Vijayakumar, S, Krishnaven, Babbur, Akshita

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A Sequential Importance Sampling Algorithm for Estimating Linear Extensions by Beichl, Isabel, Jensen, Alathea

“…In recent decades, a number of profound theorems concerning approximation of hard counting problems have appeared. These include estimation of the permanent,…”
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A New Importance Sampling Algorithm for Fast Simulation of Linear Block Codes over BSCs by Pan, Jinzhe, Mow, Wai Ho

“…In this paper, we propose an Importance Sampling (IS) scheme for fast simulation of linear block codes over binary symmetric channels (BSCs). By re-formulating…”
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A Sequential Importance Sampling Algorithm for Generating Random Graphs with Prescribed Degrees by Blitzstein, Joseph, Diaconis, Persi

“…Random graphs with given degrees are a natural next step in complexity beyond the Erdős–Rényi model, yet the degree constraint greatly complicates simulation…”
Get full text