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We extend the discussion to regression models with continuous covariates.
We evaluate this new class of sequence-to-sequence models with continuous outputs on the task of neural machine translation.
One of the differences of simulations of models with continuous interactions compared to those of models with hard-core potentials is the way in which MC moves are optimized.
The effectiveness of the presented meta-models in the analysis of models with continuous and categorical inputs is illustrated with several test cases and also with results from a real analysis.
Therefore, the adaptive algorithm enables the solution of two-scale models with continuous inter-scale dependencies on large computational macroscopic and microscopic grids within an acceptable period of time for computation.
Combining predictive models with continuous health monitoring assures decision-makers that these models accurately reflect the state of a vehicle over its entire lifetime, allowing simulation-based systems engineering models to be used as an effective tool for ensuring mission success.
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We model the endomesoderm tissue specification process in the vegetal half of the early sea urchin embryo using Boolean models with continuous-time updating to represent the regulatory network that controls gene expression.
Prior physical knowledge about the dynamics of the system is modeled with continuous time differential equations.
While the primary focus will be on the linear model with continuous outcomes (i.e., the classic regression framework) we will also discuss binary, categorical, and ordinal outcomes.
This equation has been derived by comparing the discontinuous cell model with continuous diffusion assuming equilibrium conditions.
In this research, we propose a new method of constructing the 4D mesh model that derives from the 3D mesh model with continuous rigid body movement.
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