• Search: "Sampling algorithm"

Showing 61 - 80 of 873

61

An adaptive sampling surrogate model building framework for the optimization of reaction systems
Franzoi, Robert E. ; Kelly, Jeffrey D. ; Menezes, Brenno C. ; et al.
In Computers and Chemical Engineering September 2021 152

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62

Numerical analyses of the 2D bearing capacity of block-in-matrix soils (bimsoils) under shallow foundations
Schmüdderich, Christoph ; Prada-Sarmiento, Luis Felipe ; Wichtmann, Torsten
In Computers and Geotechnics August 2021 136

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63

Using geostatistics and maximum entropy model to identify geochemical anomalies: A case study in Mila Mountain region, southern Tibet
Li, Binbin ; Liu, Bingli ; Wang, Guxi ; et al.
In Applied Geochemistry January 2021 124

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64

Unsupervised model for aspect categorization and implicit aspect extraction
AL-Janabi, Omar Mustafa ; Ahamed Hassain Malim, Nurul Hashimah ; Cheah, Yu-N
Knowledge and Information Systems: An International Journal. :1-27

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65

Monte Carlo Entropic sampling algorithm applied to 3D spin crossover nanoparticles: role of the environment on the thermal hysteresis
Linares, Jorge ; Cazelles, C. ; Gaci, S. ; et al.
Journal of Physics: Conference Series. 1730:012042-012042

Tinos island, Greece Monte Carlo simulations entropic-sampling algori... spin-crossover phase transition thermal hysteresis …
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66

Fast Approximation of Frequentk-Mers and Applications to Metagenomics
Leonardo Pellegrina ; Cinzia Pizzi ; Fabio Vandin
Lecture Notes in Computer Science ISBN: 9783030170820

Genomics (q-bio.GN) 0301 basic medicine 0303 health sciences 0206 medical engineering Computational Biology High-Throughput Nucleoti... …
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67

Motion Planning of Planar Closed Chains Based on Structural Sets
Guanfeng Liu ; Jeff Trinkle ; Yong Yang ; et al.
IEEE Access, Vol 8, Pp 117203-117217 (2020)

narrow passages 0209 industrial biotechn... bifurcation Electrical engineering.... 02 engineering and techn... closed chains …
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68

User-Driven Adaptive Sampling for Massive Internet of Things
Le Kim-Hung ; Quan Le-Trung
IEEE Access, Vol 8, Pp 135798-135810 (2020)

0202 electrical engineer... Electrical engineering.... 02 engineering and techn... massive internet of thin... Constrained devices 7. Clean energy …
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69

Power Harmonic Analysis via Neural Network and Quasi-synchronous Sampling Method
PENG Daming ; XIAO Shenping ; ZHOU Huanxi
Kongzhi Yu Xinxi Jishu, Vol 38, Pp 57-64 (2021)

BP neural network harmonic steepest descent method quasi synchronous sampli... Control engineering syst... TJ212-225 …
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70

Transform MCMC Schemes for Sampling Intractable Factor Copula Models
Bénézet, Cyril ; Gobet, Emmanuel ; Targino, Rodrigo
Methodology and Computing in Applied Probability. 25(1)

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71

Moments and random number generation for the truncated elliptical family of distributions
Valeriano, Katherine A. L. ; Galarza, Christian E. ; Matos, Larissa A.
Statistics and Computing. 33(1)

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72

Collective proposal distributions for nonlinear MCMC samplers : Mean-field theory and fast implementation
Clarté, Grégoire ; Diez, Antoine ; Feydy, Jean ; et al.

entropy methods GPU particle method propagation of chaos Sampling algorithm Computer and information...
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73

Singular values were obtained through the SVD of the GEI simulated.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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74

Posterior summaries for AMMI models with the MCMC method selected by AIC and BIC.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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75

Estimates for the variance components of the genotypic effect and residual variance component, referring to the AMMI model (Gibbs algorithm).
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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76

The complete posterior conditional distributions for the models.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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77

Maximum entropy prior.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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78

Posterior means and HPD intervals (at 95%) for the genotypic effects of the model BAMMI (conditional and marginal), RJMCMC algorithm.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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79

Correlation and PRESS for the models (RJMCMC).
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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80

Total computational time, of analysis of the models using Gibbs and RJMCMC algorithm.
Carlos Pereira da Silva (7300925) ; Cristian Tiago Erazo Mendes (11355945) ; Alessandra Querino da Silva (11355942) ; et al.

Cell Biology Genetics Molecular Biology Biotechnology Biological Sciences not... Mathematical Sciences no... …
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