Sentence examples for a machine learning methodology from inspiring English sources

Without resorting to complex statistical approaches, the study provides a machine learning methodology to resolve this subject.

In the study presented here, we propose the application of a machine learning methodology to improve the prediction of functional interactions.

Genetic programming (GP) is a machine learning methodology that evolves computer programs to solve problems using Darwin's principle of "survival of the fittest" and evolution by natural selection.

To classify the targets we feed those parameters to an open-source implementation [5] of a support vector machine (SVM) [6], a machine-learning methodology based on statistical learning theory [7, 8] that in the past has been used to perform binary classification [9] and regression [10] and has recently been adapted for multicategory classification [11].

Note that unlike our method, this work did not employ any machine learning methodologies for automatically identifying human trafficking related advertisements.

Random forest is a successful machine learning methodology and was used for setting up all models.

In this study, a simple machine learning methodology was adopted for creation of classifiers, which has shown high performance in previous tests.

Support vector machine is a novel machine learning methodology based on SLT, which has considerable features including the fact that requirement on kernel and nature of the optimization problem results in a uniquely global optimum, high generalization performance, and prevention from converging to a local optimal solution.

Although the automated classifier is based on a particular machine learning methodology, results are likely to be reflective of the potential benefits of any highly performing binary classification tool and therefore provide insights into the general impact of CADx on (123I FP-CIT reporting.

A new machine learning methodology, the brain development index (BDI) [ 38], summarizes the multivariate pattern of structural brain development using a large sample of subjects ages 8 22, and can accurately delineate trajectories of brain development.

Instead, an interactive machine learning methodology is more applicable where the machine-learning model is enhanced not using the prevailing train-learn-evaluate technique, but improving the model in a more iterative fashion.