Similar words: probability, improbability, in all probability, probability model, probability theory, theory of probability, the probability is that, probability sampling.
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1. The theorem states that the posterior probability is proportional to the prior probability multiplied by the likelihood.
2. Based on which, Posterior Probability measure is developed.
3. In the process, we calculate the posterior probability of semantics by unlabeled samples information.
4. It proves that the posterior probability about experiments makes up hemigroup then proves that the posterior probability of the order experiments and the accumulation experiments are the same.
5. The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.
6. According to Bayesian theory and Bayes Factor, the posterior probability of the calculation sample belonging to a model is calculated.
7. Simultaneously, this method provides the posterior probability density and the error bars of estimated weights, which deduces the uncertainty of reconstruction.
8. Histogram of posterior probability distribution for earthquake to occur on various fault groups.
9. The Posterior probability output of binary SVM was generalized to multiclass SVM. Without iteration computing, this method improved prediction accuracy with fast computing.
10. The posterior probability can also be expressed in terms of class-conditional density function and prior probability by the Bayes theorem.
11. Using the posterior probability to guide the fusion rules' design of high frequency subband coefficients, it fuses the coefficients differently according to edge or background region.
12. Another benefit of Posterior Probability measure is the low computational complexity and obvious global maximum.
13. A SVM model based on the posterior probability is bring forward by using a commercial bank's housing credit data.
14. Monte Carlo method can generate a large collection of models according to the posterior probability distribution and analyses and display the models with relative likelihood of model properties.
15. Third, the initial segmentation is refined scale by scale to get the final segmentation of the SAR image based on the posterior probability of classification which is estimated by the mixture model.
16. Experiment results show that the proposed method achieves the better classification effect and the better posterior probability distribution than other methods.
17. The available methods for watermarking detection include related detection, maximum plausible detection and maximum posterior probability detection, etc.
18. In the process of recognition, the prior probability is supposed to be the same, the posterior probability is calculated according to GMM, and then the instrument class is determined.
19. The primary of Bayesian estimation is to deduce the conditional distribution function of unknown variables on the data, which is also called posterior probability density function (PPDF).
20. Then the segmentation problem is formulated as Maximum a Posterior Probability (MAP) estimation rule.
21. Unscented KF utilizes a set of definite samplings to approximate posterior probability density function, while particle filter uses random particles.
21. Sentencedict.com try its best to gather and create good sentences.
22. Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
23. If Bayesian inference used to describe the problem, the posterior probability density function of earth model describes the solution of a geophysical inverse problem.
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