Results 1 to 10 of about 99,019 (263)
Sparse bayesian learning for genomic selection in yeast [PDF]
Frontiers in Bioinformatics, 2022 Genomic selection, which predicts phenotypes such as yield and drought resistance in crops from high-density markers positioned throughout the genome of the varieties, is moving towards machine learning techniques to make predictions on complex traits ...
Maryam Ayat, Mike Domaratzki
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Opinion Dynamics with Bayesian Learning [PDF]
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
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Mathematics, 2021 In this article, we study uncertainty quantification for flows in heterogeneous porous media. We use a Bayesian approach where the solution to the inverse problem is given by the posterior distribution of the permeability field given the flow and ...
Anirban Mondal, Jia Wei
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The Aggregate Impact of Consumer Reviews on Market Outcome in Differentiated Products Market
Asia Marketing Journal, 2021 The Aggregate Impact of Consumer Reviews on Market Outcome in Differentiated Products Market Jun B. Kim, Seoul National University, Republic of KoreaFollow Abstract We investigate the aggregate impact of consumer reviews on market outcome in a ...
Jun B. Kim
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J. Mach. Learn. Res., 2021 We show that many machine-learning algorithms are specific instances of a single algorithm called the \emph{Bayesian learning rule}. The rule, derived from Bayesian principles, yields a wide-range of algorithms from fields such as optimization, deep learning, and graphical models.
Mohammad Emtiyaz Khan, Håvard Rue
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Bayesian localization for autonomous vehicle using sensor fusion and traffic signs [PDF]
Компьютерные исследования и моделирование, 2018 The localization of a vehicle is an important task in the field of intelligent transportation systems. It is well known that sensor fusion helps to create more robust and accurate systems for autonomous vehicles. Standard approaches, like extended Kalman
Sergey I. Verentsov +5 more
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AVA: A Financial Service Chatbot Based on Deep Bidirectional Transformers
Frontiers in Applied Mathematics and Statistics, 2021 We develop a chatbot using deep bidirectional transformer (BERT) models to handle client questions in financial investment customer service. The bot can recognize 381 intents, decides when to say I don’t know, and escalate escalation/uncertain questions ...
Shi Yu, Yuxin Chen, Hussain Zaidi
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IEEE Access, 2020 A Steel Plate Rolling Mill (SPM) is a milling machine that uses rollers to press hot slab inputs to produce ferrous or non-ferrous metal plates. To produce high-quality steel plates, it is important to precisely detect and sense values of manufacturing ...
Cheol Young Park +3 more
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Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity [PDF]
Open Biology, 2014 One goal of cell biology is to understand how cells adopt different shapes in response to varying environmental and cellular conditions. Achieving a comprehensive understanding of the relationship between cell shape and environment requires a systems ...
Heba Sailem +3 more
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On Sequential Bayesian Inference for Continual Learning
Entropy, 2023 Sequential Bayesian inference can be used for continual learning to prevent catastrophic forgetting of past tasks and provide an informative prior when learning new tasks.
Samuel Kessler +4 more
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