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Matrix factorization is a group of algorithms where a given matrix R is factorized into two smaller matrices Q and P such that: (R approx Q^TP) [11].
Kernel methods are a group of algorithms that can handle a very wide range of data types such as vectors, sequences and networks.
Evolutionary algorithms (EA), a group of algorithms to which GP belongs, can improve upon human generated policies, and sometimes in unexpected ways [34].
One is a group of algorithms that compare two structures geometrically in the 3-D space, considering the coordinates of structures [ 7- 13] as their inputs.
Kernel methods are a group of algorithms that can handle a very wide range of data types, such as vectors, sequences, networks, and so on.
The other is a group of algorithms that use more abstract information of the structures, such as the secondary structure elements (SSEs) [ 14- 17].
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A group of the algorithms of fault-loop impedance determination for digital distance relay applied for protecting a series-compensated line has been considered.
The modern HOAs represent a group of intelligent algorithms that either make analog of the natural evolution process based on Darwinian principles or mimic a certain natural phenomenon in searching for an optimal solution.
After providing a globally optimal solution for the special case of single multicast session using omnidirectional antenna, this approach leads us to a group of distributed algorithms for multiple multicast in WANETs using directional antennas.
Structural equation modelling comprises a group of estimation algorithms that account for the complexity of coverage decisions.
There is a group of biclustering algorithms based on metaheuristics such as evolutionary approaches [ 20, 21], multiobjective evolutionary approaches [ 22, 23], Simulated Annealing [ 24], Particle Swarm Optimization [ 25], greedy randomized adaptive search [ 26], Estimation of Distribution Algorithms [ 27] or Memetics Algorithms [ 28].
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