minimax u rečniku italijanskog jezika Oksford‒Paravia

Jednojezični primeri (nisu ih verifikovali PONS urednici)

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Similar minimax optimizations can be pursued to make estimators robust to certain imprecisely known parameters.
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In the traditional minimax method, the levels of the tree alternate from max to min until the depth limit of the tree has been reached.
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Take the minimax algorithm for example.
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The performance of the nave minimax algorithm may be improved dramatically, without affecting the result, by the use of alpha-beta pruning.
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In particular there are no generalized eigenfunctions for non-zero eigenvalues and there is a variational principle similar to the minimax principle for determining the non-zero eigenvalues.
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The minimax trajectory for problems of these types is always a geometric sequence (or exponential function for continuous problems).
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Nonetheless, in many cases a minimax estimator has been determined.
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We can then limit the minimax algorithm to look only at a certain number of moves ahead.
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Zero-window calls cause more cutoffs, but return less information - only a bound on the minimax value.
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For many estimation problems, especially in the non-parametric estimation setting, various approximate minimax estimators have been established.
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