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The algorithm exploits a technique known as reinforcement learning, which learns through trial and error.
The algorithm exploits the parallel architecture of the computing platform.
The algorithm exploits the structure of these motions to robustly recover the objects behaviors.
The distributed implementation of the algorithm exploits Massage Passing Interface (MPI).
The e_Rice algorithm exploits a set of variable-length codes to achieve compression.
The algorithm exploits the Hamiltonian structure of the computational problem and offers generality and flexibility.
The algorithm exploits the special properties of different types of neighborhood moves.
A local weighted recursive least-squares algorithm exploits the local linearity of Takagi Sugeno fuzzy models.
Finally, an analysis of how a successful algorithm exploits the fitness distance correlation is carried out.
The algorithm exploits not only image correlations over the illumination dimensions but also coherences over the spatial dimensions of the image.
In particular, the intrinsic algorithm exploits the geometry of the unit sphere, a manifold embedded in Euclidean space.
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CEO of Professional Science Editing for Scientists @ prosciediting.com