Sentence examples for broad class of models from inspiring English sources

Exact(3)

General expressions are given for a rather broad class of models, whereas a simple model is studied in detail.

To facilitate understanding of MCDM methods, we offer a typology for this broad class of models, suggest some of the types of problems that may be analyzed with these methods, and recommend the implementation of several MCDM methods in currently evolving IA frameworks.

Survival analysis covers a broad class of models that deal with the analysis of time-dependent data.

Similar(57)

This off-line approach can address a broad class of model uncertainty descriptions with guaranteed robust stability of the closed-loop system and substantial reduction of the on-line MPC computation.

Here, we study the incidence of latent gene expression phenotypes in a broad class of model gene regulatory circuits that are highly successful in capturing biological phenomena [ 29- 34].

Nonlocal transport theories is a new and rapidly evolving field of study in the earth sciences and is anticipated to bring new insight into the interpretation of observations and lead to the development of a broader class of models that can explain the stochastic and complex behavior of geomorphic systems over a broad range of space time scales.

The methods here do not have this constraint, and so a broader class of models may be studied.

This model is one of a broad class of accumulator models of decision-making (See [4] for a review), incorporating leakage or decay of accumulated information, as well as competition among accumulators, factors motivated both by behavioral and neurophysiological considerations, in the context of a stochastic information integration process.

Second, because the DG model is a special case of a Bernoulli generalized linear model (see the appendix), our finding indicates that this very broad class of statistical models may be able to capture the higher-order population activity in neural data.

The energy approach serves to unify formulation and implementation of a broad class of hysteretic models.

GLMs are a broad class of statistical models for relating non-normal dependent variables to linear combinations of predictor variables.

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