The doctoral candidate is jointly supervised but is based mainly at the academic institution.
The most common use of PolSAR in supervised classification is based on the statistical distribution of Bayes distribution and Wishart distribution.
The evidence for effectiveness of additional supervised exercises is based on a limited number of studies (n=11), with a maximum of five studies per outcome measure.
The supervised approach is based on prior knowledge of condition groups (e.g. CNS tissues) and is executed by computing a statistic for each exon such as the difference between its mean inclusion level in a predefined group of conditions compared with all the others.
Supervised discretization further considers the target class, C, in creating D. One popular supervised discretization algorithm is based on information entropy maximization (IEM) whereby the set of cut points is created to minimize the entropy within D [3].
Hence, the goal of supervised machine learning is based on given input variables and then predicts the output variables [ 3].
Our supervised rehabilitation protocol is based on the guidelines of the Royal Dutch Society of Physical Therapy [ 52], which is comparable to other published treatment protocols [ 53- 57, 68].
Second, our current drug interaction prediction algorithm is not a truly supervised method; it is based on a biological assumption of concordantly differentially expressed genes between single drugs and their combinations.
The supervised exercise programme is based on the "Back to Fitness" class, whose effectiveness has been supported in several RCTs, reporting significant improvements in pain and disability compared to 'routine' physiotherapy [ 35] and GP management [ 36], with comparable effects to spinal manipulative therapy [ 37].
In supervised learning the training is based on examples of desired behaviour.
