Sentence examples for supervised to obtain from inspiring English sources

Multiple researchers were involved in the data collection and interobserver variability has not been tested; however, all researchers were trained and supervised to obtain these questionnaires correctly.

Based on supervised learning and similarity measurements, we propose a Recursive Feature Addition (RFA), recursively employ supervised learning to obtain the highest training accuracy and add a subsequent gene based on the similarity between the chosen features and the candidates to minimize the redundancy within the feature set.

In this paper, the basis functions are learned using a supervised process to obtain spectral patterns for different musical instruments.

Then we mix the rankings following supervised learning methods to obtain a prediction as accurate as possible on the various degree classes.

We then applied supervised learning strategy to obtain our probabilities by combining the labeled allele frequencies and our previously genotyped labels.

Less supervised TTE were required to obtain the competency score in the simulation group (35 ± 3 vs. 39 ± 3 p < 0.0487).

Brennan et al. [25] have shown that internal medicine residents with minimal training, including 4 h of formal didactic ultrasound teaching, and 20 sonographer supervised acquisitions were able to obtain adequate images of the IVC in 90% of patients.

To validate our class prediction methodology, a supervised analysis was undertaken to obtain a gene list for prediction of oestrogen receptor (ER) status in pre-treatment samples (ER-α was excluded from the analysis).

However, supervised classification could greatly help to obtain more accurate classifications when information on class labels is known beforehand and an accurate FSS or a reliable validation could be obtained as well.

They observed that using the co-training semi-supervised method, they were able to obtain an F-Score of.609, which was higher than the 0.583 they obtained when not including any unlabeled data.

MDA is a supervised dimensionality-reduction method that attempts to obtain maximum separation between neural population responses corresponding to different types of known stimuli by identifying and integrating the classification-significant neural features [5].