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We develop this model using continuous goal inference scenarios, in which human actors reach for target objects among many distractors.
The language enables a high-level definition of the geometric model using continuous affine transformation and boolean operators leading to a mixed-dimensional representation.
Additionally, we assessed the impact of adding lactate to the model using continuous net reclassification improvement (NRI) and integrated discrimination index (IDI), as previously suggested [18].
We applied ambient noise tomography to the Naruko/Onikobe volcanic area and constructed a detailed 3-D S-wave velocity (V s) model using continuous records from a dense seismic network and surrounding stations.
We therefore constructed a log-linear model using continuous travel time variables, consistent with our original hypothesis (Table 1).
Although dichotomization of continuous variables may cause bias and weaken the discriminative power of the model, we used this method because a model using binary or categorical variables would be more accessible than a model using continuous variables.
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The optimal controller is designed based on the finite-dimensional state-space model using continuous-time linear quadratic regulator (LQR) techniques.
There are many discretization methods that have been used to construct the discrete-time model using continuous-time methods such as explicit and implicit Euler's method, Runge Kutta method, predictor-corrector method and nonstandard finite difference methods [33 37].
One model, the standard model, used continuous and discrete variables weighted with β-coefficients that maximized their predictive power.
The model uses continuous mathematical functions to estimate the instantaneous rates of progression and regression of disease.
A second model used continuous variables dichotomized to 0 or 1 at clinically relevant cut points and weighted to maximize prediction.
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