Results 11 to 20 of about 2,475,679 (305)
Bayesian Structure Learning for Climate Model Evaluation
Journal of Advances in Modeling Earth Systems, 2023 A Bayesian structure learning approach is employed to compare and contrast interactions between the major climate teleconnections over the recent past as revealed in reanalyses and climate model simulations from leading Meteorological Centers.
Terence J. O'Kane +2 more
doaj +2 more sources
A Bayesian Generative Model for Learning Semantic Hierarchies [PDF]
Frontiers in Psychology, 2014 Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years.
Roni eMittelman +3 more
doaj +3 more sources
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events [PDF]
PLoS ONE, 2016 We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals’ daily sleep periods and their evolution over time, and provides an estimation of the probability of sleep and wake transitions ...
Andrea Cuttone +5 more
semanticscholar +1 more source
Bayesian learning of coupled biogeochemical–physical models
Progress in Oceanography, 2023 45 pages; 18 figures; 2 ...
Abhinav Gupta, Pierre F.J. Lermusiaux
openaire +2 more sources
Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
Italian National Conference on Sensors, 2023 Parkinson’s disease (PD) has become widespread these days all over the world. PD affects the nervous system of the human and also affects a lot of human body parts that are connected via nerves.
Ahmed M. Elshewey +5 more
semanticscholar +1 more source
Opinion Dynamics with Bayesian Learning
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
doaj +1 more source
Bayesian Model Averaging, Learning, and Model Selection* [PDF]
, 2013 Agents have two forecasting models, one consistent with the unique rational expectations equilibrium, another that assumes a time-varying parameter structure. When agents use Bayesian updating to choose between models in a self-referential system, we find that learning dynamics lead to selection of one of the two models.
Evans, George W. +3 more
openaire +3 more sources
Using consensus bayesian network to model the reactive oxygen species regulatory pathway. [PDF]
PLoS ONE, 2013 Bayesian network is one of the most successful graph models for representing the reactive oxygen species regulatory pathway. With the increasing number of microarray measurements, it is possible to construct the bayesian network from microarray data ...
Liangdong Hu, Limin Wang
doaj +1 more source
A Bayesian Network Model of Causal Learning [PDF]
, 2022 Associationist theories of causal induction model learning as the acquisition of associative weights between cues and outcomes. An important deficit of this class of models is its insensitivity to the causal role of cues. A number of recent experimental findings have shown that human learners differentiate between cues that represent causes and cues ...
Waldmann, Michael R., Martignon, Laura
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A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus
BMC Medical Research Methodology, 2023 Objective To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables given by Bayesian networks (BN ...
Yue Lin +4 more
doaj +1 more source