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Bayesian inference in a sentence

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Sentence count:20Posted:2025-08-27Updated:2025-08-27
Similar words: inferencefuzzy inferenceinference engineinductive inferencestatistical inferencebayesianconferenceconference call
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1. Bayesian inference is a valid approach used in geophysical problems.
2. Bayesian inference has also gained prominence in e-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).
3. Dynamic Bayesian planning graph adds dynamic Bayesian inference to based planning graph. It represents system security states explicitly and the relation between states and actions.
4. Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics.
5. Both likelihood ratio tests and Bayesian inference are employed to study the phylogeny of Phasianidae.
6. Bayesian inference treats model parameters as random variables whereas frequentist inference considers them to be estimates of fixed, 'true' quantities.
7. The paper presents a kind of bayesian inference of simple signal in dynamic measurement. The simple measured signals and output signals are thought of as realizations of stochastic process.
8. The most common statistical approach is called bayesian inference and is explained in detail in another IBM developerWorks article (see Resources).
9. This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.sentencedict.com
10. If Bayesian inference used to describe the problem, the posterior probability density function of earth model describes the solution of a geophysical inverse problem.
11. The algorithm handles uncertain information with Bayesian inference, giving a quantitative evaluation of the security state of a system and eliminating false alarms effectively.
12. The paper introduces the target tracking algorithms based on Bayesian inference, which can be applied in the systems of nonlinearity and non-Gaussianity.
13. Particle filter is a new real time inference algorithm, which is based on Bayesian inference and Monte Carlo method.
14. To improve the accuracy and speed in cycle-accurate power estimation, this paper uses multiple dimensional coefficients to build a Bayesian inference dynamic power model.
15. Monte Carlo method is used to sample geophysical model according to Bayesian inference.
16. The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
17. Then the optimal estimation of the object state parameters is obtained by Bayesian inference.
18. Tenenbaum, J . B . ( 2003 ) . Introduction to probability and Bayesian inference.
19. The purpose of this paper is to summary the literatures on tests of portfolio mean-variance efficiency in the framework of classical statistics and Bayesian inference.
20. We review the basic principle, formalism, and philosophy of Bayesian inference and discuss its application in the context of the analytic continuation problem.
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