Probabilistic approaches may also be used to treat peak overlap.
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More recent systems have often worked on a probabilistic approach, based on parallel corpora.
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Together with his colleagues, Wolfram Burgard developed numerous probabilistic approaches to mobile robot navigation.
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When using a probabilistic approach to design, the designer no longer thinks of each variable as a single value or number.
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In case it is not possible to predict with certainty what will be the outcome of a particular decision, a probabilistic approach is necessary.
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The information in a signal is usually accompanied by signal recovery, one branch of which is estimation theory, a probabilistic approach to suppressing random disturbances.
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However, due to their probabilistic approach, Probabilistic Semantics are able to describe only those uncertainties that can be quantified, namely they cannot model conceptual uncertainty.
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For highly non-linear functions, there exist five categories of probabilistic approaches for uncertainty propagation; see Uncertainty Quantification # Methodologies for forward uncertainty propagation for details.
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The Manhattan model employs a probabilistic approach in the selection of nodes movements, since, at each intersection, a vehicle chooses to keep moving in the same direction.
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This acceptance of the probabilistic approach, following Boltzmann, for Planck was a radical change from his former position, which till then had deliberately opposed such thinking proposed by Boltzmann.
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