Sentence examples for modeling technique that from inspiring English sources

Growth mixture modeling is an individual-based modeling technique that permits investigators to explore the longitudinal features of disease progression (i.e., symptom trajectories) and to cluster patients into latent classes (subgroups) based on the differential symptom courses [ 32].

Latent growth modeling (LGM) is a structural equation modeling technique that captures inter-individual differences in longitudinal change corresponding to a particular treatment.

The structural equation model (SEM) is a linear statistical modeling technique that combines econometrics, sociology, psychology, and other statistical analysis measurement methods.

We model endothelial cells using a Cellular Potts model (CPM) (Glazier and Graner 1993) (aka Glazier Graner Hogeweg model), a lattice-based cell-based modeling technique that represents cells as a connected domain of square lattice sites.

Keystroke level modeling (KLM) is a type of cognitive modeling technique that has been reported in the literature over the last two decades.

A four-year record of crash data (2005 2008) and a statistical modeling technique that assumes a negative binomial distribution on generalized linear models (GLMs) were used to develop separate models for merging and diverging areas.

Therefore, IDEF1X is a semantic data-modeling technique that defines the meaning of data within the context of its interrelationship with other data.

The main contribution of this research is a multi-layered phishing detection method using previously developed modeling techniques that includes topic modeling technique Probabilistic Latent Semantic Analysis (PLSA), classifier ensemble technique AdaBoost and Co-Training algorithm that employs labeled and unlabeled data.

Regression trees have several advantages as a modeling technique, including that various types of predictor and response variables can be analyzed simultaneously rather than in an iterative manner, missing values in data sets can be incorporated and therefore information loss minimized, and complex interactions between predictors can be quantified and modeled in a simple manner [44].

Modeling an incentive technique that enables the hypervisor to give incentives in the form of resources to the VMs that have truthfully declared their metrics and punish these VMs that lied about their actual metrics.

The main issues for the chapter are to understand that there are many modeling techniques, and that each makes many assumptions about that which is being modeled.