The phrase "available supervised" is not correct and does not convey a clear meaning in written English.
It may be intended to describe something that is supervised and available, but the phrasing is awkward and unclear.
Example: "The training sessions are available supervised to ensure participants receive proper guidance."
Alternatives: "supervised availability" or "available under supervision".
If damage state data are available, supervised learning can be applied and more diagnostic information becomes available.
This effect is more pronounced if transcripts for the foreign data are available (supervised training).
Should sample or gene class labels be available, supervised machine learning methods may be applied to 'learn' the characteristic expression patterns of a class.
Consult with licensed mental health professionals in your area to inquire about available supervised positions in which you can work.
Depending on the application, pre-segmented data might not be available for supervised training.
In unsupervised methods, speaker identities and pretraining with clean speech are not available, while supervised methods often assume both.
The semi-supervised approach exploits this information information which is not available to a supervised classifier and uses it to make more accurate distributional estimates and genotype calls.
In all experiments where fMLLR transforms are used as inputs to a teacher DNN for soft target training, the transforms are estimated in an unsupervised way and the transcriptions are not used even if we have assumed some portion of the transcriptions were available when performing supervised training of the teacher DNN (i.e., the 110-h subset).
Probe set behavior in parental hybridizations the only source of training data available to a supervised classifier was often not representative of behavior in offspring hybridizations.
When a portion of labeled data are available, the semi-supervised NMF was developed for an improved classification system [5].
Although there are a large number of machine learning algorithms (learners) available, current research using supervised learning methods has been, for the most part, limited to three learners: Logistic Regression (LR), Naïve Bayes (NB) and Support Vector Machine (SVM).
