Moreover, we also tested a number of generic primal heuristics for the Steiner tree problem to generate a first primal bound to the MPPEP-SNP (see, e.g., [ 34]).
At the initial stage, C4.5 is applied to a classification problem to generate a rule set.
Intuitively, it is the join order selection problem to generate a good query plan for DJ Q, G).
Therefore, our problem is to generate a virtual hole based on the path deviation of an anchor pair.
More precisely our problem is to generate a set of households comprising individuals taken in a distribution of age of the population, and which respect all the constraints we found in the data about the distributions of: sizes and types of households, ages of the head of the household, differences of age between partners, ages of children according to mother's age.
One approach to clarifying the problem is to generate a mathematical model and then ask what sort of perturbation would offer the most clarification as to the actual condition of the patient [ 7].
To circumvent these problems, we opted to generate a recombinant form of the pSn-specific mAb 41D3.
This is an instance of the cold start problem (i.e., the problem to generate recommendations for a resource without any source of information from where to take the terms to recommend) and happens in most of the recommender systems in current TBSs.
The problem is how to generate a return with that money for shareholders.
To solve this problem, we need to generate a new MR using the McFIS and the current frame (see Figure 2d) and then use the immediate previous frame for ME&MC using the pattern-covered region, and the rest of the region of the MB is copied from the collocated background frame, i.e., McFIS.
