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Physics Letters A, ISSN 0375-9601, 11/2011, Volume 375, Issue 48, pp. 4237 - 4243
Journal Article
Journal of Applied Probability, ISSN 0021-9002, 2011, Volume 48, Issue A, pp. 183 - 194
The variance minimization (VM) and cross-entropy (CE) methods are two versatile adaptive importance sampling procedures that have been successfully applied to... 
Cross entropy | Likelihood ratio degeneracy | Rare-event simulation | Variance minimization | Importance sampling | rare-event simulation | cross entropy | importance sampling | 65C05 | 65C60 | likelihood ratio degeneracy
Journal Article
Journal of Applied Probability, ISSN 0021-9002, 1/2011, Volume 48A, Issue A, pp. 183 - 194
The variance minimization (VM) and cross-entropy (CE) methods are two versatile adaptive importance sampling procedures that have been successfully applied to... 
PART 4: SIMULATION | STATISTICS & PROBABILITY | importance sampling | rare-event simulation | likelihood ratio degeneracy | cross entropy | Variance minimization
Journal Article
Gaojishu Tongxin/Chinese High Technology Letters, ISSN 1002-0470, 09/2014, Volume 24, Issue 9, pp. 942 - 947
Journal Article
系统科学与复杂性:英文版, ISSN 1009-6124, 2015, Volume 28, Issue 2, pp. 489 - 503
Journal Article
Journal of the Optical Society of America A: Optics and Image Science, and Vision, ISSN 1084-7529, 2007, Volume 24, Issue 11, pp. 3666 - 3679
recursive algorithm, which appears to be new, is presented for estimating the amplitude and phase of a wave field from intensity-only measurements on two or... 
TOMOGRAPHY | QUADRATIC APPROACH | MINIMUM CROSS-ENTROPY | DECONVOLUTION | HOLOGRAPHY | FOURIER-TRANSFORM | INFORMATION | IMAGE-RECONSTRUCTION | ALGORITHM | CONVERGENCE | OPTICS
Journal Article
Applied Mathematics and Mechanics (English Edition), ISSN 0253-4827, 09/2009, Volume 30, Issue 9, pp. 1201 - 1210
In this paper, we use the discontinuous exact penalty functions to solve the constrained minimization problems with an integral approach. We examine a general... 
Constrained problems | Global optimization | Deviation integral | Cross-entropy method | MATHEMATICS, APPLIED | MECHANICS | cross-entropy method | deviation integral | OPTIMIZATION | constrained problems | global optimization | Degrees of freedom (Mechanics) | Analysis | Algorithms | Constraints | Integrals | Minimization | Mathematical models | Deviation | Optimization | Importance sampling
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 2006, Volume 361, Issue 1, pp. 124 - 138
Kullback–Leibler relative-entropy has unique properties in cases involving distributions resulting from relative-entropy minimization. Tsallis relative-entropy... 
ME methods | Triangle equality | Tsallis entropy | STATISTICAL-MECHANICS | MINIMUM CROSS-ENTROPY | triangle equality | PHYSICS, MULTIDISCIPLINARY | THERMOSTATISTICS | MAXIMIZATION | Analysis | Equality
Journal Article
Kybernetika, ISSN 0023-5954, 2010, Volume 46, Issue 4, pp. 621 - 654
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 03/2017, Volume 32, Issue 2, pp. 1568 - 1569
A novel Geometric Programming (GP) is presented in the first time by the optimization model of importance sampling parameters (ISP) in Variance Minimization... 
Monte Carlo methods | variance minimization (VM) | importance sampling (IS) | Programming | Power system reliability | Numerical models | Reliability | Optimization | Geometric programming (GP) | power system reliability | CROSS-ENTROPY | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Digital Signal Processing, ISSN 1051-2004, 01/2016, Volume 48, pp. 322 - 332
The CV (Chan–Vese) model is a piecewise constant approximation of the Mumford and Shah model. It assumes that the original image can be segmented into two... 
Distance regularized term | Image segmentation | CV model | Cross entropy | Piecewise constant approximation | Minimum within-class variance | LEVEL SET EVOLUTION | ENERGY | MINIMIZATION | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Rivers | Image processing | Analysis | Remote sensing
Journal Article
Information Sciences, ISSN 0020-0255, 2008, Volume 178, Issue 12, pp. 2621 - 2638
Journal Article
by Feng, HJ and Chen, LG and Xie, ZH and Sun, FR
ACTA PHYSICA SINICA, ISSN 1000-3290, 03/2015, Volume 64, Issue 5
Based on the entransy dissipation extremum principle for thermal insulation process, the constructal optimizations of a variable cross-sectional insulation... 
DISSIPATION RATE MINIMIZATION | ENTROPY GENERATION | entransy dissipation rate minimization | constructal theory | COMBINING HEAT-FLOW | PHYSICS, MULTIDISCIPLINARY | PROGRESS | STRENGTH | PRINCIPLE | generalized thermodynamic optimization | variable cross-sectional insulation layer
Journal Article
ACM Transactions on Design Automation of Electronic Systems (TODAES), ISSN 1084-4309, 04/2018, Volume 23, Issue 3, pp. 1 - 23
Yield 1 analysis of SRAM is a challenging issue, because the failure rates of SRAM cells are extremely small. In this article, an efficient non-Gaussian... 
generalized pareto distribution | Failure rate | cross entropy minimization | SRAM | STATISTICAL BLOCKADE | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | RARE CIRCUIT EVENTS | SIMULATION | FAILURE
Journal Article
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, ISSN 1520-6149, 04/2007, Volume 1, pp. I-457 - I-460
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory.... 
Image converters | cross entropy | Stochastic processes | Optimization methods | Entropy | MRF solvers | Partitioning algorithms | Markov random fields | energy minimizations | Image segmentation | Image analysis | Belief propagation | Biomedical engineering | Cross entropy | Energy minimization
Conference Proceeding
Annals of Nuclear Energy, ISSN 0306-4549, 09/2017, Volume 107, pp. 62 - 70
Quantifying the uncertainty contributors of Best Estimate (BE) Thermal Hydraulic (TH) codes has been getting more and more attention in safety analysis of... 
Uncertainty quantification | Cross-entropy minimization | Markov Chain Monte Carlo | Surrogate model | Reflood models | RISK ANALYSIS | NUCLEAR SCIENCE & TECHNOLOGY | REACTOR SAFETY MARGINS | Markov processes | Nuclear industry | Monte Carlo method | Models | Methods | Investigations
Journal Article
2019, ISBN 9783038972228
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial... 
hydrological risk analysis | modeling | water level | Poyang Lake basin | trend | composite multiscale sample entropy | flood frequency analysis | canopy flow | precipitation | water resources | complex systems | frequency analysis | optimization | combined forecast | neural network forecast | entropy spectral analysis time series analysis | environmental engineering | hydrometric network | sea surface temperature | kernel density estimation | robustness | turbulent flow | entropy production | connection entropy | flux concentration relation | turbulence | tropical rainfall | generalized gamma (GG) distribution | multi-events | El Niño | joint entropy | entropy weighting method | Anhui Province | changing environment | complexity | multiplicative cascades | Tsallis entropy | Hexi corridor | coherent structures | water resources vulnerability | uncertainty | variability | flow entropy | Hei River basin | fuzzy analytic hierarchy process | substitute | crop yield | conditional entropy production | entropy | flow duration curve | mean annual runoff | temperature | hydrometeorological extremes | resilience | Loess Plateau | information entropy | scaling | water distribution networks | cross entropy | randomness | forewarning model | entropy applications | quaternary catchment | spatio-temporal variability | probability distribution function | ant colony fuzzy clustering | radar | continuous probability distribution functions | Shannon entropy | informational entropy | information | confidence intervals | marginal entropy | rainfall forecast | entropy of information | streamflow | power laws | bootstrap aggregating | maximum entropy-copula method | spatial and dynamics characteristic | projection pursuit | set pair analysis | entropy theory | water resource carrying capacity | entropy parameter | precipitation frequency analysis | principle of maximum entropy | information theory | stochastic processes | network design | complement | cross elasticity | climacogram | methods of moments | hydrology | bagging | principle of maximum entropy (POME) | rainfall network | entropy ensemble filter | ensemble model simulation criterion | Lagrangian function | Beta-Lognormal model | cross-entropy minimization | ANN | configurational entropy | variation of information | statistical scaling | EEF method | water monitoring | maximum likelihood estimation | GB2 distribution | NDVI | four-parameter exponential gamma distribution | hydraulics | spatial optimization | Kolmogorov complexity | bootstrap neural networks | mutual information | accelerating genetic algorithm | groundwater depth | rainfall | tropical Pacific | water engineering | monthly streamflow forecasting | ENSO | nonlinear relation | Bayesian technique | non-point source pollution | Burg entropy | data-scarce | scaling laws | soil water content | arid region | land suitability evaluation | information transfer
eBook
2016 22nd International Conference on Automation and Computing (ICAC), 09/2016, pp. 233 - 237
As a machine learning method under sparse Bayesian framework, classical Relevance Vector Machine (RVM) applies kernel methods to construct Radial Basis... 
Training | Support vector machines | Minimization | Entropy | Relevance vector machine (RVM) | Cross Entropy Minimization | Radial Basis Function (RBF) Network | Bayes methods | Mathematical model | Bayesian inference | Kernel
Conference Proceeding
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