Sentence examples for maximization techniques from inspiring English sources

As for network modularity maximization techniques, the task of maximizing the objective function Q has been proved NP-hard [75], thus several heuristic techniques have been presented during the last years.

Given a value of s, we can compute the likelihood of the observations, so we could just find the value of s that maximizes this likelihood, either by searching or by standard numerical maximization techniques.

Our main contribution is that the optimal beamforming vectors can efficiently be computed using determinant maximization techniques through an iterative QL-QR algorithm based on a MSE balancing method.

Maximally six missing values on each questionnaire were allowed, and these values were imputed by means of single imputation using expectation maximization techniques [ 28].

The relationship between the designs optimized for maximum fundamental frequency and minimum ERP responses is investigated to study the effectiveness of the frequency maximization technique.

This paper concerns with the development of the crashworthiness maximization technique for tubular structures, and the application to the axial crushing problems of cylindrical tubes.

Next, we will also provide an algorithm to solve problem (17) that employs the alternating maximization technique [35], rather than using the convex reformulation.

But from the image quality assessment perspective, we argue that we have demonstrated a new subjective image quality maximization technique that has surveyed a two-dimensional image coding space and efficiently arrived at what is arguably the "right answer".

Moreover, for applications in which computational complexity is a major issue, a similar algorithm as Algorithm 2 can be devised resorting to the alternating maximization technique, in order to convert problem (17) into a sequence of scalar problems.

The training is accomplished using the Baum-Welch algorithm [41], an expectation maximization technique that finds the most likely parameters for an HMM given a training set of emissions.

This involved using the motif discovery tool MEME, which employs an expectation maximization technique [ 20], on the High Confidence and Expanded sets.