Sentence examples for modeling complex data from inspiring English sources

Because of the deep hierarchical structure, DBM has greater flexibility and good representation power while modeling complex data distributions.

Results were that the object database offered significant advantages in modeling complex data applications, and the object design approach led to an overall increase in productivity by software developers.

Modeling complex data can be particularly useful in the analysis of multivariate ergodic (stationary) time-series.

This feature makes the GMBM a good candidate to model complex data such as textured images or multifractal processes.

XML is a powerful means by which to model complex data while preserving human readability.

Estimating equations, particularly in the form of generalized estimating equations [ 14], have become popular in situations where it is difficult to model complex data, such as correlated data that do not arise from a multivariate normal distribution [ 11, 15].

These results demonstrate the deep-learning techniques can serve as powerful modeling techniques for modeling complex biological data.

The recent success demonstrates that deep learning methods are well suited for modeling complex biological data to support drug discovery and toxicological research.

The new distribution is flexible to model complex positive real data sets, i.e., it can have decreasing, UBT shaped and decreasing-increasing-decreasing hazard rate functions (hrfs).

The ability to incorporate a variety of traditional (i.e. experimental data) and non-traditional knowledge bases such as expert judgement, mechanistic or physical relationships and simulated data into the parameterization process of a BN appeals to the task of modelling complex systems in data-scarce environments, such as the NM risk assessment arena [38].

However, we think that the Bayesian framework is a very suitable tool for modelling complex and uncertain evolutionary data.