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In the application of SVM to a fault diagnosis problem, typically a discrete decision function with discrete output values is utilized in order to solely define the label of the fault.
In this paper, we address the optimal commonality problem in a real multidimensional space, developing a novel algorithmic approach aimed at transforming a continuous multidimensional decision problem into a discrete decision problem.
The rate of demand is an increasing function of sales teams' initiatives and the sales teams' initiatives is a discrete decision variable.
This conclusion meshes nicely with the neurophysiology literature suggesting that the lateral prefrontal cortex plays a role in converting continuous accumulation of sensory evidence into a discrete decision code [17].
Because the cognitive system does not collapse a discrete decision onto brittle, simplistic movements, it can be argued that the processes leading into this decision are themselves continuous and graded, leading to this dynamic covariation of executed actions.
Previous research has conceptualized innovation adoption as a discrete decision by individuals and focused on an outcome of interest.
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For type 2 diabetes, patients who are identified as high risk must make sustained lifestyle changes (rather than making a single discrete decision, as with most other genetic testing paradigms) to prevent disease onset.
The formulated problem consists of the minimization of the thermal surface area for a certain service, involving discrete decision variables.
As a consequence, the local random walk also becomes ineffective while solving an optimization problem with discrete decision variables.
Specifically, we employ a two-part model to investigate two dimensions of car use, the discrete decision to own a car and, conditional upon ownership, the continuous decision of how far to drive.
Hence, the proposed model is a stochastic multi-objective model with discrete decision variables.
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