Sentence examples similar to continuous state model from inspiring English sources

The discrete-valued component of the mixed state represents higher-level behavior while the continuous state models the dynamics within behavioral segments.

Firstly, the DC system architecture is modeled by an undirected graph whose nodes (i.e. computers) have a continuous-state model representing its computational capability.

As a consequence, our ability is impeded in terms of understanding the fundamentals and quantifying the computational and technological requirements for an effective secondary protective control strategy; (2) The traditional continuous-state model ignores the electric network dynamics and considers only the much slower electromechanical dynamics.

The SBML encoded version can be found in Additional file 2. In order to combine our mathematical model with time-course RNA-seq measurements, we need to construct a statistical model that is capable of integrating continuous-state model responses with discrete count data.

For continuous state space models M, the likelihood ℒ(M| D) given D is defined via the pdf by the product of its values at the data points (10) ℒ (M | D ) = ∏ i = 1 N u (ξ i | M ), where u(·| M) denotes the density function of the output distribution of the model M. Based on the likelihood, there are many methods available for model assessment and parameter estimation [ 15, 18].

We model the evolution of a heterogeneous prostate cell population using a continuous state-transition model.

Thus, we further introduce a continuous state-space model into the spectral envelope extension and propose the blind BWE method based on the ensemble of recurrent neural networks in this paper.

This feature is employed for derivation of a new continuous hyperplastic critical state model.

The application of this method to Markov chains with discrete state space is first presented based on previous works of the literature and the paper then develops its extension to the selected Hidden Markov Model with continuous state space.

The natural approach to determining an association between a continuously distributed exposure and a binary outcome is simply to analyze the exposure variable in its raw, continuous state using a linear regression model.

The advantage of a continuous-state system model is that it represents realities more accurately than discrete-state system models.