Sentence examples for methods in predictive from inspiring English sources

The results show a great potential for automated model identification methods in predictive toxicology.

A second classification [12] divides existing methods in predictive and nonpredictive.

The previous chapters have exposed you to some very sophisticated methods in predictive analytics (e.g., lag variables for time-series analysis and ensembles of models).

The general computational approach of Stochastic Gradient Boosting (SGB) is seen as one of the most powerful methods in predictive data mining.

Future experiments are needed to systematically compare these two methods in predictive accuracy when it is not at ceiling (i.e., experimental conditions are difficult to be differentiated, like houses versus scenes).

We identify the unique challenges posed by high dimensionality to highlight methodological problems and discuss recent methods in predictive classification, unsupervised subclass discovery, and marker identification.

Turning the latter measures into proper metrics is a prerequisite for using the method in predictive contexts like that set up in the CASP experiment.

Further improvements on CTC isolation technologies are needed, while a combination of imaging and highly sensitive multi-parametric molecular methods in large scale predictive biomarker studies will enable the establishment of CTCs in the clinical setting.

Through the use of a simulated species we confirmed that although randomly selected pseudo-absences yield models with lower fi to the training data, they outperform models developed from two-step methods in terms of predictive power and variable selection.

The pair-potential binding prediction method shows large variations in predictive performance for different MHC molecules.

Conclusions: Neuropsychologic and medical information available by traditional methods showed unique value in predictive driving safety.