Sentence examples for features to solve from inspiring English sources
In this paper, a two-phase approach has been used to determine a reduced set of relevant and non-redundant features to solve the above-mentioned issues.
First, to the best of our knowledge, this is the first time that node identifiers in the egocentric networks are used as features to solve network-based classification problem.
The selection procedure to determine the best set of features to solve the classification problem at hand is included in section 4. The low-cost classifier proposed in the previous section provides an estimation of the IBM minimizing the MSE.
In this paper, we constructed a new heuristic algorithm based on the tabu search and adaptive large neighborhood search (ALNS) with several specifically designed operators and features to solve the capacitated vehicle routing problem (CVRP).
To this end, first a novel spatial-temporal multi-feature is proposed by joining super-pixel based multi-appearance features and multi-motion features to solve fast moving crowd counting.
This paper proposes an image retrieval using fused deep convolutional features to solve the semantic gap between low-level features and high-level semantic features of traditional contend-based image retrieval method.
The experiments performed on both of them suggest that diversification is a key feature to solve the problem.
In this paper, we advocate that the way forward is to integrate SDN and fully utilize its feature to solve the problem.
The new features aim to solve this problem.
Genetic algorithms have a 20-year history of successful applications in telecommunications, signal processing, and electromagnetic fields due to some basic features, useful to solve complex problems with reasonable computational effort [19].
(1995) elaborated a study about the nature of connections between the genetic algorithm and tabu search metaheuristics, searching to show the existing opportunities for creating a hybrid approach with these two standard methods to take advantage of their complementary features and to solve difficult optimization problems.
