Results 21 to 30 of about 341,773 (269)

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction

open access: yesRemote Sensing, 2022
The enormous increase in the volume of Earth Observations (EOs) has provided the scientific community with unprecedented temporal, spatial, and spectral information.
Hamze Dokoohaki   +5 more
doaj   +1 more source

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets

open access: yesEntropy, 2020
Score-based algorithms that learn Bayesian Network (BN) structures provide solutions ranging from different levels of approximate learning to exact learning.
Zhigao Guo, Anthony C. Constantinou
doaj   +1 more source

Pertinence of Predictive Models as Regards the Behavior of Observed Biological and Artificial Phenomena [PDF]

open access: yesAthens Journal of Health and Medical Sciences, 2021
In this assessment, we have made an effort of synthesis on the role of theoretical and observational investigations in the analysis of the concepts and functioning of different natural biological and artificial phenomena.
Adel Razek
doaj   +1 more source

Machine learning based on landslide susceptibility assessment with Bayesian optimized the hyperparameters

open access: yes地质科技通报, 2022
In machine learning-based landslide susceptibility assessment, there are some differences in the evaluation results obtained by using different hyperparameters.
Can Yang   +4 more
doaj   +1 more source

The individual true and error model: Getting the most out of limited data

open access: yesJudgment and Decision Making, 2020
True and Error Theory (TET) is a modern latent variable modeling approach for analyzing sets of preferences held by people. Individual True and Error Theory (iTET) allows researchers to estimate the proportion of the time an individual truly holds a ...
Pele Schramm
doaj   +1 more source

We are All Bayesian, Everyone is Not a Bayesian [PDF]

open access: yesTopoi, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreoletti, Mattia, Oldofredi, Andrea
openaire   +2 more sources

Tehran Stock Exchange Return Forecasting: Comparison of Bayesian, Exponential Smoothing and Box Jenkins Approaches [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2022
Stock returns forecasting is very crucial for investors, share-holders and arbiters. Different methods have been developed for this purpose. In general, there are four methods of forecasting in stock markets, which are; Technical Analysis, Fundamental ...
Mojtaba Rostami   +1 more
doaj   +1 more source

Uncertainty of feedback and state estimation determines the speed of motor adaptation

open access: yesFrontiers in Computational Neuroscience, 2010
Humans can adapt their motor behaviors to deal with ongoing changes. To achieve this, the nervous system needs to estimate central variables for our movement based on past knowledge and new feedback, both of which are uncertain. In the Bayesian framework,
Kunlin Wei   +4 more
doaj   +1 more source

Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels

open access: yesEpigenetics, 2021
Epigenetic architecture is influenced by genetic and environmental factors, but little is known about their relative contributions or longitudinal dynamics.
Chris McKennan   +14 more
doaj   +1 more source

COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES ON SAMPLE SIZE: METHODOLOGIC STUDY

open access: yesSabiad, 2023
Objective: In the present study, we aimed to evaluate the effects of sample size on results of study by using frequentist and Bayesian approaches.Material and Methods: The small sample consisted of 32 patients with ischemic heart disease (IHD) and 37 ...
Cennet Yıldız   +3 more
doaj   +1 more source

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