Sentence examples for both supervised and supervised from inspiring English sources

Introduction Machine learning is an emerging technique that enables computers to learn from data without been explicitly programmed [1], in the medical field has been used for classification and prediction analysis in both supervised and supervised fashion [2].

Actually, the most significant novelties introduced to the traditional calibration procedure deal with the adaptation of the algorithm and the putting into practice of both supervised and non-supervised web-based subtest administrations.

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.

In total, the number of completed training sessions, both supervised and non-supervised home training, averaged twice a week, and ranged from 1 3 times/week.

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

We performed comparisons between our approach and several semi-supervised and supervised baselines on both of the labeled and unseen data (so-called blind evaluation).

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

Different machine learning paradigms are compared to identify the best performing strategies, including unsupervised, semi-supervised and supervised techniques.

Unlike [15] in which we did not compare our method with other approaches, this work compares our proposed framework against other semi-supervised and supervised learners.