Sentence examples for models of each class from inspiring English sources

Adaptivity is provided by the application of the maximum a posteriori (MAP) method to the statistical models of each class and is implemented via a feedback loop [18].

Interestingly, it has been recently reported in the context of cell line sensitivity prediction [87] that higher performance was obtained by combining moderate predictive models, instead of the most predictive models of each class.

It is noteworthy to mention that this ensemble was obtained by combining several hundreds of poor and highly predictive models instead of only the most predictive models of each class, namely GBM, RF and SVM (Table 2D and Figure 4).

In particular, in the case of the numerous models of MAPK signalling, and of the circadian clock, biologically meaningful mappings between models of each class are automatically inferred from the structure of the interactions.

This ensemble system must consider both the efficiency of the different trained models in each image autonomous system and the efficiency of the trained model on each class in the one-vs.-one classification problems.

Using a gray-box modeling approach, and by exploiting the one-way coupling between the fluid dynamics and thermal dynamics, we derive individual linearized models for each class of dynamics.

We used machine learning approaches, specifically boosted regression tree analysis, to develop classification models for each class of invasive plants.

Moreover, a modeling framework should be sufficiently versatile to span the whole diversity of neuron types by tuning a restricted number of parameters, avoiding the need of a new model for each class of neuron.

Using this design, we compared prescribing patterns using three sets of logistic regression models for each class.

The same cases-study are handled using different kinds of plate Finite Elements (FEs), with the purpose of providing some guidelines/benchmarks useful for identifying the most appropriate modelling for each class of buckling problem.

We fitted the hurdle model to each class of dental utilization to investigate differences between adults with diabetes and controls for each treatment class and each component of utilization.