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Rats appear to solve learning set tasks very efficiently if olfactory stimuli are used.
These images compound the learning set.
The H subsets constitute the learning set.
For kNN method, the learning set contains the Hermitian matrices.
The learning set contains binary series describing Hermitian matrices.
ANN system was trained using the prepared training set (also known as learning set).
The quantum circuits are constructed to accumulate elements of a learning set.
(phi_{kappa}) coefficients are computed to maximize the quality of the prediction on the learning set.
The natural learning set is the cell density in the retina.
Each participant appears in either the learning set or test set.
The next (k^2) inputs serve to constitute a learning set.
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