Without such framework the selection of the technique might be mostly based on: tool availability, knowledge of the data scientist/researcher, and/or being politically friendly to stakeholder expectations, with all the problems that might arise from such bias.
Index 1 calculates the maximum difference between T ¯ ¯ Sc Open image in new windows to determine how much selection of l or technique of calculating MA is important, while index 2 seeks the maximum difference between scores of simple and exponential techniques with similar length to determine the importance of being careful toward selection of the technique.
The selection of the technique depends on the purpose of the study, the accessibility of genotypic strains archives, the time available to complete the analysis, and the cost.
To build a classifier in binary class, the process is divided into four components: data collection, pre-processing and feature selection, comparison of the techniques, best classifier selection and performance evaluation.
The selection of these techniques depends on multiple factors, such as organizational requirements, objectives and environment, as well as, available resources and knowledge.
However, the selection of the optimal techniques is difficult and insufficient expertise in the process may result in large inflation of expenses.
The selection of the evaluation techniques and tools is the first and foremost step in the performance evaluation process.
Other limitations include the selection of the smoothing technique and the method used to extract the LSP metrics.
Thoughtful selection of the testing technique during experimental design to evaluate a hypothesis is critical to optimize biomechanical testing of vocal fold tissues.
Modeling phase involves the selection of the modeling technique and the estimation of model's parameters.
