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It was for these reasons that we established a modern, multidisciplinary, scenario and model based training programme in the UK; Managing Obstetric Emergencies and Trauma (MOET).
A modern, multidisciplinary, scenario and model based training programme has been established in the UK (Managing Obstetric Emergencies and Trauma (MOET)) and allows specialist obstetricians to learn or revise the undertaking of procedures using models, and to have their skills tested in scenarios.
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We split the data into training and testing samples in each run and built the model based on training samples only and evaluated the performance on the testing samples by using cross-validation.
To compare the performance of IGGAUCS and G L1Cox, we build the model based on training data set and evaluate the model with the test data set.
This algorithm builds a functional model based on training data by optimizing the error between true skin thickness and the output of a formulated model hypothesis using an ε-insensitive loss.
Comparable selection methods are used in many European countries, originating from the discipline based training model developed in the last quarter of the 20th century [ 1].
It was hypothesized that: The threshold based training model would elicit greater mean changes in cardiorespiratory fitness (as measured by VO2max) when compared to the relative percent method.
The threshold based training model would elicit greater mean changes in cardiorespiratory fitness (as measured by VO2max) when compared to the relative percent method.
For the training step, the function of "naiveBayes" in the package e1071 is used to train a statistical model based on a training set, in which each gene has three attributes and known status.
The optimal combinations were obtained by our optimization model based on the training set and validation set in the training group.
SVM is able to define a model based on small training data (Xu et al. 2012) with little training time and hence it is suitable for real time implementation.
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