Sentence examples for maximize posterior probability from inspiring English sources

Model training: First, a learning criterion is set up, which can either be to maximize likelihood or maximize posterior probability.

We want to maximize the posterior probability ({mathbb{P}}({mathcal{T}}_j | {mathcal{D}})) which is equivalent to maximizing ({mathbb{P}}({mathcal{D}}| {mathcal{T}}) cdot {mathbb{P}}({mathcal{T}})) over all possible models ({mathcal{T}}).

The aim of the MAP algorithm is to maximize the posterior probability distribution for each transmitted symbol/codeword.

From the Bayesian view point, MAP criterion is an estimation method that chooses an estimation of unknown variable which could maximize the posterior probability distribution function, i.e., θ ^ = arg max θ p θ | y (22).

Findings that maximize the posterior probability of the correct hypothesis are the most valuable ones.

Bayesian statistics are applied to find certain network structure and the corresponding model parameters that maximize the posterior probability of the structure given the data.

Hence, using Bayes' rule, we can determine the parameters β and z which maximize the posterior probability of assigning regulator R.

We also forced the assignments of individuals to clusters beyond the number considered to maximize the posterior probability of the data.

Specifically, instead of maximizing the likelihood of the observed votes, P ( r | votes ), as discussed above, this approach maximizes the posterior probability, which is proportional to P ( r | votes ) P prior ( r ) where P prior is taken to be the lognormal distribution P lognormal in Equation (14) with parameters from the fits shown in Figure 9.

The EM algorithm maximizes the posterior probability of occurrence of the event.

Using the Monte Carlo technique, we detect vehicles sequentially based on the idea of maximizing a posterior probability (MAP), performing vehicle segmentation in the meantime.