Sentence examples for models of linear from inspiring English sources

Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence 'labeling' problems1,2.

What they gain in rigor - with their axiomatic models of "linear rational expectations" or "optimal investment strategies under conditions of uncertainty" - they lose in ability to explain what's happening in Detroit or Stuttgart.

The methodologies are demonstrated using two-dimensional finite element models of linear elasticity problems with known analytical solutions.

Multiscale models of linear dynamic systems offer a representation that links states at different time scales over distinct time periods.

The experimental results are compared with classical models of linear viscoelasticity and structural effects on the creep behavior are examined.

We analyze how this influences the error assessment for POD-Galerkin models of linear elliptic boundary value problems.

In this section, we sketch the design of a general model of linear relationships.

We implement this method in two and three space dimensions for a model of linear or nonlinear elasticity.

The discussion is helpful for designing and modeling of linear ultrasonic motors.

When the model of linear subsystem becomes available, the determination of the nonlinear element turns out to be easier.

A model of linear regression was applied to quantify the amount of BOLD fMRI signal fluctuations attributable to physiological sources.