COMPUTATIONAL LINGUISTICS AND ARTIFICIAL INTELLIGENCE [PDF]
Ziglôbitha: Computational linguistics, as an interdisciplinary field combining linguistics and computer science, aims to enable computers to process natural language.
Affas MAAMAR & Hadjer HADJCHERIF
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Fast parallelized sampling of Bayesian regression models for whole-genome prediction
Genetics Selection Evolution, 2020 Background Bayesian regression models are widely used in genomic prediction, where the effects of all markers are estimated simultaneously by combining the information from the phenotypic data with priors for the marker effects and other parameters such ...
Tianjing Zhao +3 more
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Using Bayesian inference to estimate plausible muscle forces in musculoskeletal models
Journal of NeuroEngineering and Rehabilitation, 2022 Background Musculoskeletal modeling is currently a preferred method for estimating the muscle forces that underlie observed movements. However, these estimates are sensitive to a variety of assumptions and uncertainties, which creates difficulty when ...
Russell T. Johnson +2 more
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Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data—A Review
Remote Sensing, 2020 Reliable forecasts on the impacts of global change on the land surface are vital to inform the actions of policy and decision makers to mitigate consequences and secure livelihoods.
Jonas Koehler, Claudia Kuenzer
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Genetics Selection Evolution, 2021 Background Whole-genome sequence (WGS) data are increasingly available on large numbers of individuals in animal and plant breeding and in human genetics through second-generation resequencing technologies, 1000 genomes projects, and large-scale genotype
Theo Meuwissen +2 more
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Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls [PDF]
Journal of Chemical Theory and Computation, 2022 Neural network (NN) potentials promise highly accurate molecular dynamics (MD) simulations within the computational complexity of classical MD force fields.
Stephan Thaler +2 more
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XRate: a fast prototyping, training and annotation tool for phylo-grammars
BMC Bioinformatics, 2006 Background Recent years have seen the emergence of genome annotation methods based on the phylo-grammar, a probabilistic model combining continuous-time Markov chains and stochastic grammars.
Kosiol Carolin +7 more
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The parallel replica method for computing equilibrium averages of Markov chains [PDF]
Monte Carlo Methods and Applications, 2015 Abstract An algorithm is proposed for computing equilibrium averages of Markov chains which suffer from metastability – the tendency to remain in one or more subsets of state space for long time intervals. The algorithm, called the parallel replica method (or ParRep), uses many parallel processors to explore these subsets more ...
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Aircraft conflict detection: A method for computing the probability of conflict based on Markov chain approximation [PDF]
2003 European Control Conference (ECC), 2003 We study the automated aircraft conflict detection problem. Specifically, we introduce a method for estimating the probability of conflict for two-aircraft encounters at a fixed altitude. The spatial correlation between the wind perturbations to the aircraft positions is taken into account.
J. Hu, PRANDINI, MARIA
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Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion) [PDF]
Bayesian Analysis, 2019 Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm.
Aki Vehtari +4 more
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