Sentence examples for learning population from inspiring English sources

In this paper, an ensemble of evolution algorithm based on self-adaptive learning population search techniques (EEA-SLPS) is presented to overcome these defects on the numerical optimization problems.

Assuming that economy of expression is constrained by what can be learned as well as a pressure for languages to be clear [e.g., 47], this account still predicts that morphological complexity will vary as a function of the learning population.

Table 3 Tuned parameters of the proposed PSO P factor Inertial weight Individual learning Plural learning Population size Maximum iteration Tuned value 1 2 2 20 100.

Table 2 Parameters and their levels P factor Inertial weight Individual learning Plural learning Population size Maximum iteration Lower limit 0.5 1 1 10 50 Upper limit 1 2 2 50 200.

Secondary aims are to learn population's reasons for refusing to take part in the screening programme and to find out the health professionals' opinion about the official programme implementation and on the new computerised tool.

It discusses sources of variability, including the goal of the CAD system, learning methodology, study population, design, outcome measures, inclusion of radiologists, and study quality.

The implications of these findings for practice and future research into the relationship between sport and psychological wellbeing within the learning disabled population are considered.

Basch defined the FGI as a "Qualitative approach to learning about population subgroups with respect to conscious, semi-conscious, and sociological characteristics and processes" [ 25].

The first step seeks dimensionality reduction through learning a population-based representation, that discriminates between different users in the population.

Although utilization and personal communications suggest that Septris is well received among different disciplines, learning levels, populations, and nations, it is not clear that Septris would be as effective in these cohorts.

For example, Strat (Pritchard et al., 2000) first learns the population structure using structure, performs an association test within each population and then combines the results across populations.