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Based on new probability distributions, selective samples are carried out through the Latin Hypercube technique.
The proposed HCPF uses Harris corners for the PF sample set which provides selective samples with strong features.
Previous studies that assessed the mediating role of social support in the association between childhood adversity and psychological distress based their inferences on very small, selective samples, which makes it impossible to generalise the findings to general population.
Taken together, studies concerning the occurrence of posttraumatic stress in close family members of CCI patients are rare, show heterogeneous results [12], apply various symptom cutoff scores, use either heterogeneous or selective samples of only spouses [11] and consider follow-up periods that are rather short [e.g., 5, 7: 3 months] or quite long [e.g., 11: 55 months].
Considering the different forms of treatment and study settings, this apparent inconsistency may reflect the effect of selective samples.
Finally, selective samples are a common problem in intervention studies (e.g. [ 26, 50]) and limit external validity.
Similar(45)
In this paper, we introduce the concept of active feature selection, and investigate a selective sampling approach to active feature selection in a filter model setting.
Next, from this same stream, the selective sampling method selected the most informative PDF files according to that method's criteria.
Most of the times, the selected strategy is based on selective sampling.
In this paper we assessed the performances of a novel method, Parallel Selective Sampling (PSS), able to select data from the majority class to reduce imbalance in large data sets.
A significant improvement compared to the random selection of the labelled samples have been observed when using these selective sampling techniques.
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