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561por Véronique Gomes, Ricardo Rendall, Marco Seabra Reis, Ana Mendes-Ferreira, Pedro Melo-Pinto“... alternatives through a robust Monte Carlo double cross-validation stratified data splitting scheme. L&NLPAC...”
Publicado 2021
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562“... correlation of NGP and EP. On this basis, the Monte Carlo method is adopted to generate scenarios of NGP...”
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563“... and the limitations of three gPCE-based stochastic inverse methods are compared: the Markov Chain Monte Carlo (MCMC...”
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564por Frank Nielsen“... mixtures improves over the computational time of stochastic Monte Carlo estimations by several orders...”
Publicado 2021
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565“..., slug volume injected, and production rates. Through Monte Carlo simulations, we demonstrate that high...”
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566“... system and flight management unit. The strategy is verified with the ET120 platform, by Monte Carlo...”
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567por Marco Antônio Peixoto, Jeniffer Santana Pinto Coelho Evangelista, Igor Ferreira Coelho, Rodrigo Silva Alves, Bruno Gâlveas Laviola, Fabyano Fonseca E Silva, Marcos Deon Vilela de Resende, Leonardo Lopes Bhering“...-sib families was evaluated over six harvests. The Markov Chain Monte Carlo algorithm was used...”
Publicado 2021
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568“.... Se realizan simulaciones de Monte Carlo para el estrés financiero de los hogares y luego para estimar...”
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569“... ensemble using Monte Carlo simulations consisting of backrub backbone and side chain moves in Rosetta...”
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570por Evan J Molinelli, Anil Korkut, Weiqing Wang, Martin L Miller, Nicholas P Gauthier, Xiaohong Jing, Poorvi Kaushik, Qin He, Gordon Mills, David B Solit, Christine A Pratilas, Martin Weigt, Alfredo Braunstein, Andrea Pagnani, Riccardo Zecchina, Chris Sander“...), which is three orders of magnitude faster than standard Monte Carlo methods. Explicit executable models...”
Publicado 2013
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571“... pertaining to metabolic control. We propose a Monte Carlo algorithm to estimate FCs for large networks, based...”
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572“... using the lme4 package in R, and Markov chain Monte Carlo methods in WinBUGS. Using simulated data we...”
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573“... of spiking neurons can be interpreted as probabilistic inference via Markov chain Monte Carlo (MCMC) sampling...”
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574“.... We then run Monte Carlo simulations with neocortical and subcortical activations. In the case...”
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575por Lei Yan, Shuyu Xie, Dongmei Chen, Yuanhu Pan, Yanfei Tao, Wei Qu, ZhenLi Liu, Zonghui Yuan, Lingli Huang“..., bactericidal, and virtual bacterial elimination effects were 26.72, 39.54, and 50.69 h, respectively. Monte...”
Publicado 2017
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576“... fully-connected small artificial neural networks (ANNs) and a simple training process, the Kim-Monte...”
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577por Aryan Mobiny, Pengyu Yuan, Supratik K. Moulik, Naveen Garg, Carol C. Wu, Hien Van Nguyen“... by imposing a Bernoulli distribution on the model weights. This method called Monte Carlo DropConnect (MC...”
Publicado 2021
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578“... to encompass a wide range of competition between molecules and defects. Monte Carlo Simulation (MCS) was used...”
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579por Daniele Panetta, Luca Labate, Lucia Billeci, Nicole Di Lascio, Giuseppina Esposito, Francesco Faita, Giovanni Mettivier, Daniele Palla, Luciano Pandola, Pietro Pisciotta, Giorgio Russo, Antonio Sarno, Paolo Tomassini, Piero A. Salvadori, Leonida A. Gizzi, Paolo Russo“...- and inter-cycle motion. The image quality of a typical single 3D time frame has been studied using Monte...”
Publicado 2019
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580“... probabilities is done via Markov chain Monte Carlo sampling and is based on a dataset of HNSCC patients in whom...”
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