Results 41 to 50 of about 643,547 (199)
Applied Sciences, 2022 Dynamic model-updating methods are a useful tool for obtaining high-precision finite element (FE) models. However, when using such methods to update a model, there will be problems with incompleteness and mode switching.
Kaiyang Li +4 more
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Complexity, 2021 Nowadays, the use of computers is becoming very important in various fields of mathematics and engineering sciences. Many complex statistics can be sorted out easily with the help of different computer programs in seconds, especially in computational and
Amir Naseem, M. A. Rehman, Jihad Younis
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, 2020 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.
Bürkner, Paul-Christian +4 more
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Computational Methods for Sparse Solution of Linear Inverse Problems [PDF]
, 2009 The goal of the sparse approximation problem is to approximate a target signal using a linear combination of a few elementary signals drawn from a fixed collection. This paper surveys the major practical algorithms for sparse approximation.
Tropp, Joel A., Wright, Stephen J.
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Charting a course: Exploring computational thinking skills in statistics content among junior high school students [PDF]
Journal of Pedagogical ResearchComputational Thinking (CT) skills are increasingly recognized as essential for junior high school students, especially in addressing the demands of the digital era.
Astuti Astuti +4 more
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E3S Web of Conferences, 2023 Social computing is considered part of computer science, which studies the interaction of social behavior with computing systems. It is designed to create, maintain and recreate social conventions and social contexts using various programs and technologies.
Khusenov Murodjon, Sharipova Lobar
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RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
IEEE Open Journal of Signal Processing, 2021 Blind or no-reference video quality assessment of user-generated content (UGC) has become a trending, challenging, heretofore unsolved problem. Accurate and efficient video quality predictors suitable for this content are thus in great demand to achieve ...
Zhengzhong Tu +5 more
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Variational Hamiltonian Monte Carlo via Score Matching
, 2017 Traditionally, the field of computational Bayesian statistics has been divided into two main subfields: variational methods and Markov chain Monte Carlo (MCMC).
Shahbaba, Babak +2 more
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The quantitative methods boot camp: teaching quantitative thinking and computing skills to graduate students in the life sciences. [PDF]
PLoS Computational Biology, 2015 The past decade has seen a rapid increase in the ability of biologists to collect large amounts of data. It is therefore vital that research biologists acquire the necessary skills during their training to visualize, analyze, and interpret such data.
Melanie I Stefan +3 more
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Elaboration of an Algorithm for Solving Hierarchical Inverse Problems in Applied Economics
Mathematics, 2022 One of the key tools in an organization’s performance management is the goal tree, which is used for solving both direct and inverse problems. This research deals with goal setting based on a model of the future by presenting the goal and subgoal in the ...
Ekaterina Gribanova
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