Sentence examples for methods including multiple from inspiring English sources

The focus of future studies will test more machine learning methods including multiple runs with different combinations of training and test sets, to improve on results from this study and from [16].

Other papers used more sophisticated methods including multiple imputation (n = 5) or fully Bayesian modeling (n = 1).

Handling of missing data will be by complete case analysis, with sensitivity analyses using other methods including multiple imputation if possible.

TOMO is able to deliver treatment that will not be possible by conventional RT methods, including multiple mediastinal lymph nodes irradiation.

Approximate Bayesian and summary statistic methods including multiple summary statistics (e.g. both temporal F and LD) could greatly improve precision and accuracy of N e estimators (Tallmon et al. 2008; Luikart et al. 2010), especially as large population genomic data sets become common making likelihood-based methods even computationally demanding to evaluate (Luikart et al. 2003).

Methods include Multiple Linear regression, Generalized Linear Model with Stepwise Feature Selection, Partial Least Squares regression, Lasso regression, and Support Vector Machines Recursive Feature Elimination.

Treatment methods include multiple irrigation and débridement with implant retention, single-stage revision, two-stage revision, and long-term antibiotic suppression therapy [ 1- 8].

These methods included multiple linear regression [ 15], multiple sequence alignment [ 16], energy optimization [ 17], support vector regression [ 18, 19], neural network [ 20, 21], pace regression [ 22], agent-based system [ 23] and k-nearest neighbor (KNN) [ 24].

Typical extensions of the most basic network capture methods include multiple full name nominations of influential peers and additional information, such as the frequency of contact [ 33] and the direction in which the information flows between the respondent and the nominated peers [ 34].

In this work the performance of the SLICING method (including multiple slicing schemes) is compared to a traditional two-dimensional curve fitting algorithm named MATRIXFIT through application to simulated data in a large-scale exhaustive experimental design and the results validated by application to two small real data sets.

We chose to adhere to the protocol and use the last observation carried forward method, including multiple imputation for comparison only.