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The model assumes that for binary decisions (e.g., left- vs. right-oriented targets), evidence is accumulated over time until a decision boundary is reached, which is followed by response execution.
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A two-way switch for binary decision diagram logic applications has been implemented using silicon single-electron transistors.
Since the pre-terminal set lies in the terminal mode which contains origin, this eliminates the need for binary decision variables to model mode transitions after the trajectory enters in pre-terminal set, thereby reducing the on-line complexity although at the expense of optimality.
Provost et al. [31] suggested the use of receiver operator characteristic (ROC) curves for binary decision problem, because simply using prediction by model can be misleading.
Inter-observer agreement for binary decision to treat operatively was 0.65 (CI not reported).
The multivariate probit model is characterized by a set of "n" binary-dependent variables (y i) with outcome of binary decisions for each energy choice.
This probabilistic trace can be compared with a threshold to produce a trace of binary decisions: 1 for seizure and 0 for non-seizure.
The firmest prediction for testing DLP comes from the second law as it applies to information: if the editor has successfully taken advantage of entropy information, then the average ΔI-value for a large number of binary decisions should be distinctly greater than zero, that is, 〈ΔI〉>0 bits/word.
The risk score makes it simple for estimating performance measures for multiple binary decisions such as high-risk versus the rest, or moderate/high-risk versus low-risk.
The rationale behind the introduction of fixed blocks is to reduce the number of binary decision variables for the setup of blocks and product types.
SVM [ 208] is one of a number of binary decision processes for classifying objects based on their properties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com