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1. Research on Bayesian decision theory based relevance feedback mechanism.

2. Combined with statistical based Bayesian estimation and adaptive distribution parameter estimation, an effective denoising algorithm is gained.

3. Psychologically, people tend to be Bayesian — to the extent of often making false connections.http://sentencedict.com

4. To thoroughly understand the Bayesian network methodology, we start with the basic ideas of Bayes' Theorem and empirical Bayes method along with some illustrating examples.

5. Then, based on the Bayesian theorem, sample likelihood function and priori distribution of the model, the posteriori distribution of parameters was derived.

6. On the customer support side, a Bayesian Filtering algorithm zaps spam and turns email into trackable cases routed to the correct department.

7. Traditionally, we solve a general Bayesian decision problem by using the decision tree analysis method.

8. It discusses the rationale and principle of Bayesian spectrum analysis, studies and calculates the frequency scanning method and the frequency difference scanning method respectively.

9. Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.

10. In PS ALT, we obtain the Bayesian estimation of each parameter and marginal posterior density when the prior density of shape parameter is continuous using Laplace method under CE model.

11. 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).

12. Firstly, the bottleneck of actual Bayesian expert system classifier was identified according to the process analysis.

13. Bayesian classification and the back of the linear, non - linear classifier belong to supervised learning.

14. A modified approach to combine the Bayesian estimation and the hard gating is proposed.

15. 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.

16. Bayesian decision theory as part of the modern inductive logic has had a great influence on the development of inductive logic.

17. An estimation method of system reliability based on Bayesian statistical theory is presented in consideration of the uncertainty of component reliability estimates for distributed monitoring systems.

18. Bayesian decision theory is widely used in pattem recognition and signal detection.

19. Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics.

20. The resulting type of statistical methodology is known as Bayesian, and is still controversial.

21. The image denoising method is proposed based on dual tree complex wavelet transform and Bayesian estimation.

22. And the values of recessive allele and some parameters of genetic diversity were also quite different using the square root method and the Bayesian method.

23. With respect to the small sample size of some ships, this paper presents a Bayesian method for selecting the ship-board repair parts and spares.

24. For a foggy input image, there is a clear image correspondingly. The Bayesian framework is established using the maximum probability of the corresponding clear image appearing for a given foggy image.

25. Then, it is revised and regulated based on basic dependency relationship between variables, basic structure between nodes and dependency analysis method to obtain a new Bayesian network structure.

26. Complexity of BN reasoning systems relies on probability table-scale corresponding to SBN(sub- Bayesian network) decomposed, namely attribute variable-scale of probability table and value states.

27. But because of their philosophical training in the rigours of Pascal's method, the Bayesian bolt-on does not come easily to scientists.

28. Mahout currently supports two related approaches to categorizing/classifying content based on bayesian statistics.

29. For the life data X in a life test, the Bayesian stopping rule and decision rule for the problem of testing fuzzy statistical hypotheses is given in this paper.

30. The article introduces a kind of images restoration method, which make use of relative characters of image pixels, and combines genetic algorithms inducting line process with Bayesian estimation.