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A higher detection diversity can be obtained by selecting the most likely symbol vector based on the ML selection rule, that is hat{mathbf{s}}_{n}= text{arg min}left| mathbf{y}_{n}-check{mathbf{H}}_{n}hat{mathbf{s}}_{n}^{l} right|^{2}, l=1,ldots,L.
The LAMP algorithm generates candidate formulas that are passed to a Markov Logic Network (MLN) for selecting the most likely subsets of candidate formulas.
An algorithm for selecting the most likely kinetic structures, starting from the simplest models in the decision graphs, is developed based on the concepts of nested models and likelihood ratio tests.
The core method performs a frame by frame analysis, selecting the most likely combination of fundamental frequencies at each instant.
Instead of selecting the most likely combination at isolated frames, adjacent frames are also analysed to get the score of each combination.
Joint estimation methods [19 21] can evaluate a set of possible f0 hypotheses, consisting of f0 combinations, selecting the most likely at each frame without corrupting the residual as it occurs with iterative cancellation.
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These reliability measures are combined with temporal reliability measures to make a proper selection of meaningful and pertinent information in order to select the most likely and reliable tracking hypotheses.
Select the most likely object.
A Kalman filter can be used to select the most likely candidate pose based on coherence with small movements.
To compare sQTLs across conditions, we used a Bayesian framework to select the most likely model of sQTL sharing across conditions (Supplementary Note 4).
The algorithms that select the most likely answers are tweaked by Watson every time it gets an answer wrong so that next time it gets a similar question it has a better chance of getting it right.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com