Sentence examples for both supervised and semi-supervised from inspiring English sources

Similar to Table 3, both supervised and semi-supervised training algorithms are applied.

Both supervised and semi-supervised techniques are least effective to large-scale data and are not scalable for being domain specific.

Both supervised and semi-supervised K-associated optimal graphs can be seen as the training process for the KAOG classifier which uses the components of the graph and their purities to classify new data instances, as will be exposed in Sect.

We therefore concentrated on the NB classifier because it could be readily used in both supervised and semi-supervised learning environment.

- Supervised and semi-supervised training – We distinguish between supervised and semi-supervised training.

For each dataset, we compare supervised and semi-supervised training as previously mentioned.

Algorithms to detect anomalies generally fall into three types: unsupervised, supervised, and semi-supervised [1].

We assign different risk degrees to unlabeled data according to the different characteristics in supervised and semi-supervised learning.

Then a risk-based tradeoff term between supervised and semi-supervised learning is integrated into the objective function of SSL.

Table 5 Performance of supervised and semi-supervised methods with 200 labeled segments Algorithms Spec ReliefF CS CCLS Ave.

The main difference between the supervised and semi-supervised K-associated graphs can be stated in relation to the set of neighbors, to which each vertex connects.