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检索条件"主题词=Metropolis algorithm"
649 条 记 录,以下是221-230 订阅
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Lexluther: An algorithm for detecting roads and obstacles in radar images
Lexluther: An algorithm for detecting roads and obstacles in...
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1997 IEEE Conference on Intelligent Transportation Systems (ITSC 997)
作者: Lakshmanan, S Kaliyaperumal, K Kluge, K Univ Michigan Dept Elect & Comp Engn Dearborn MI 48128 USA
This paper describes LEXLUTHER (Likelihood-based EXperiments evaLUating THe Efficacy of Radar), an algorithm for defecting roads and obstacles in radar data taken from an imaging platform mounted on a stationary autom... 详细信息
来源: 评论
HIERARCHICAL ANALYSIS OF SUR MODELS WITH EXTENSIONS TO CORRELATED SERIAL ERRORS AND TIME-VARYING PARAMETER MODELS
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JOURNAL OF ECONOMETRICS 1995年 第2期68卷 339-360页
作者: CHIB, S GREENBERG, E WASHINGTON UNIV DEPT ECONST LOUISMO 63130
We consider the use of Markov chain Monte Carlo methods to analyze hierarchical versions of Zellner's SUR model. In this context, the questions of Bayes estimation and model adequacy checking are considered, The a... 详细信息
来源: 评论
Seasonality and Markov switching in an unobserved component time series model
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Empirical Economics 2003年 第2期28卷 365-386页
作者: Luginbuhl, Rob de Vos, Aart Department of Econometrics Vrije Universiteit Amsterdam HV 1081 Netherlands
It is generally acknowledged that the growth rate of output, the seasonal pattern, and the business cycle are best estimated simultaneously. To achieve this, we develop an unobserved component time series model for se... 详细信息
来源: 评论
Genetic algorithm Based on Enhanced Selection and Log-Scaled Mutation Technique
Genetic Algorithm Based on Enhanced Selection and Log-Scaled...
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Future Technologies Conference (FTC)
作者: Gupta, Neeraj Patel, Nilesh Tiwari, Bhupendra Nath Khosravy, Mahdi Oakland Univ Dept Comp Sci & Engn Rochester MI 48309 USA Ist Nazl Fis Nucl Lab Nazl Frascati Via E Fermi 40 I-00044 Rome Italy Fedral Univ Juiz de Fora Dept Elect & Elect Engn Juiz De Fora Brazil
In this paper, we introduce the selection and mutation schemes to enhance the computational power of Genetic algorithm (GA) for global optimization of multi-modal problems. Proposed operators make the GA an efficient ... 详细信息
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A multi-site updating Markov chain Monte Carlo algorithm for morphologically constrained Gibbs random fields
A multi-site updating Markov chain Monte Carlo algorithm for...
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Conference on Bayesian Inference for Inverse Problems
作者: Sivakumar, K Goutsias, J Texas A&M Univ Dept Elect Engn Comp Assisted Med Diagnost Imaging Lab College Stn TX 77843 USA
We study the problem of simulating a class of Gibbs random field models, called morphologically constrained Gibbs random fields, using Markov chain Monte Carlo sampling techniques. Traditional single site updating Mar... 详细信息
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Monte Carlo simulation of recrystallization and grain growth in Annealed Al-4% Cu alloy: Validation through experimental microstructure comparison
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INTERNATIONAL JOURNAL OF COMPUTATIONAL MATERIALS SCIENCE AND ENGINEERING 2024年 第0期
作者: Rajendra, P. Nagaral, Madeva Siddaraju, C. Ramaiah Inst Technol Dept Mech Engn Bengaluru 560054 Karnataka India Hindustan Aeronaut Ltd Aircraft Res & Design Ctr Bengaluru 560037 Karnataka India
The study of recrystallization and grain growth in annealed metals has been extensively investigated using various computational approaches, with Monte Carlo (MC) simulations proving particularly effective. This resea... 详细信息
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When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys  16
When Non-Elitism Outperforms Elitism for Crossing Fitness Va...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Oliveto, Pietro S. Paixao, Tiago Heredia, Jorge Perez Sudholt, Dirk Trubenova, Barbora Univ Sheffield Sheffield S1 4DP S Yorkshire England IST Austria Campus 1 A-3400 Klosterneuburg Austria
Crossing fitness valleys is one of the major obstacles to function optimization. In this paper we investigate how the structure of the fitness valley, namely its depth d and length l, influence the runtime of differen... 详细信息
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Choosing the Right algorithm With Hints From Complexity Theory (Hot-off-the-Press Track at GECCO 2022)  22
Choosing the Right Algorithm With Hints From Complexity Theo...
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Genetic and Evolutionary Computation Conference (GECCO)
作者: Wang, Shouda Zheng, Weijie Doerr, Benjamin Inst Polytech Paris Ecole Polytech CNRS Lab Informat LIX Palaiseau France Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen Peoples R China
Choosing a suitable algorithm from the myriads of different search heuristics is difficult when faced with a novel optimization problem. In this work, we argue that the purely academic question of what could be the be... 详细信息
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Critical exponents for extended dynamical systems with simultaneous updating:: the case of the Ising model
Critical exponents for extended dynamical systems with simul...
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7th Latin American Workshop on Nonlinear Phenomena
作者: Pérez, G Sastre, F Medina, R Inst Politecn Nacl Dept Fis Aplicada Ctr Invest & Estudios Avanzados Apartado Postal 73 Cordemex Merida 97310 Yucatan Mexico
The behavior of a simultaneously updated metropolis simulation of the two-dimensional (2D) Ising model is explored. The configurations generated by such a simulation are not constructed to be equilibrium configuration... 详细信息
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The statistical modeling of the platinum nanoparticles in the transition area from the five-fold symmetry structure to the crystal lattice
The statistical modeling of the platinum nanoparticles in th...
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Oil and gas engineering (OGE)
作者: Svalova, A., I Stishenko, P., V Omsk State Tech Univ 11 Mira Pr Omsk 644050 Russia
This paper deals with the atom energy mean value of the platinum nanoparticles of various size (from 300 to 3000 atoms that approximately corresponds to the transition threshold from the icosahedral structure to the f... 详细信息
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