Sentence examples for maximize the log from inspiring English sources

The maximum likelihood estimation of an RBM is to maximize the log likelihood log p v|θ) of parameter θ.

In the meanwhile, we maximize the log marginal likelihood Open image in new window to boost the fit of the model to the observed data X.

After configuring the DBN using RBMs, it is discriminatively trained using the backpropagation algorithm [48] to maximize the log probability of the class labels.

Using these values, I maximize the log likelihood of the matching model (L m ) while solving for the fixed point (at the teacher and school matching probabilities ((P_{j,k^{o}}^{k}) and (P_{k}^{j,k^{o}}), respectively)).

The β k and (sigma _{k}^{2}) which maximize the log marginal likelihood are then found iteratively by setting β and σ 2 to initial values and then finding values for (boldsymbol {mu }^{n}_{c^,c^,i}) and (boldsymbol {Sigma }^{n}_{c^,c^,i}) from (12) and (13).

With these values in hand, I calculate the probabilities and expected utility values needed to maximize the log likelihood of the entry decision (L s ) to generate the predicted number of teachers (phantom {dot {i}!}left (widehat {T_{j,k^{o}}}right)) and the probability of entry (phantom {dot {i}!}left (widehat {Phi left (S_{j,k^{o}}=1right)}right)).

The fitting procedure using the expectation-maximization (EM) algorithm is explained in Appendix A. The algorithm tries to maximize the log-likelihood by distributing the Gaussians over the space of AR(10) vectors, but in addition taking into account which spindle classes and RK labels have been observed.

In order to maximize the log-likelihood, (14) should be differentiated.

We seek to find U n 's that maximize the log-likelihood function alternatingly.

The NLMIXED procedure in SAS is used to maximize the log-likelihood function in Equation (5.1).

For estimating, we use MLE to maximize the log-likelihood of the complete data: (13).