Sentence examples for mode probability model from inspiring English sources

The proposed algorithm develops a mode probability model for coding format transcoding from H.264/AVC to SVC, based on the use of conditional probability, Bayesian theorem, and the Markov chain.

For instance, the effort-moderated IRT model proposed by Wise and DeMars (2006) applies a 3-parameter logistic (PL) IRT model for responses given in the solution behavior mode, while a constant probability model is applied for rapid-guessing behavior.

Therefore, based on an analysis of the mode distribution of these two standards, this study develops a conditional probability model to select candidate modes.

In conclusion, the candidate mode is first selected by the conditional probability model.

The mode of the current MB selected by conditional probability model is assumed here to be highly correlated with its neighboring MBs'.

Specifically, an activity-mode list is used to encode the individual of the population; a hybrid probability model is built to describe the probability distribution of the solution space; and two Pareto archives are adopted to store the explored non-dominated solutions and the solutions for updating the probability model, respectively.

To make the mode probability computation more accurate under the affect of black-border constraints, the multiple-model estimation is modified by adding another estimate projection step after the propagation step for each sub-filter.

Figure 7 The on-road mode probability.

Figure 11 On-road mode probability.

Linear probability model.

Mortality Probability Model III.