"supervised as" is a grammatically correct phrase that can be used in written English.
It is commonly used when describing the way in which someone is being managed or overseen. For example: - The interns were supervised as they worked on their projects. - The children were closely supervised as they played in the park. - The trainee was carefully supervised as she performed the experiment. In each of these examples, "supervised as" indicates that the person was being monitored or instructed in a particular manner.
Different supervised as well as unsupervised multivariate statistical methods are widely and successfully used in archaeometric data analysis.
Neural networks constitute a standard tool for diverse machine learning tasks in the supervised as well as the unsupervised domain, addressing issues such as function approximation, classification, dynamic system modeling, associative memory, etc.
The underlying assumption, based on SEWA Rural's three decades of experience in community health, was that the village-based frontline workers adhere to interventions and perform well if they are adequately supported and supervised, as well as when the project objectives are aligned with their own motivations.
At its peak, the company owned, and Brown supervised,, as many as 40 logging camps, plus an inland fleet of more than 30 boats.
A total of 309 LK genes identified in rice are supervised as well as their gene and protein structures are analyzed.
DL supervised AS in establishing and optimizing the quantification of Src/ezrin in histopathological tissue samples by multi-channel immunofluorescence.
It includes independent supervised activities, as well as educational, cultural and sports activities (Ministère de la Communauté française 2003).
The unsupervised learning matrix with 1975 94, which is not in Table 7, gives a 5BLC localization error of 0.22, lower than that of supervised learning, as expected.
But methods have been developed for unsupervised (or semi-supervised) learning as well.
N-PLS with multiple-biomarker tensors can be used for semi-supervised learning as well.
They may, however, serve as supervised systems as a basis in the development of local systems adapted to the actual site conditions.
