Sentence examples for machine learning ones from inspiring English sources

We constructed median-based consensus predictors for both human predictions and machine learning ones.

Some important points regarding the comparison of univariate time series forecasting methods and additional concerns introduced when implementing the machine learning ones (hyperparameter optimization and lagged variable selection) in one- and multi-step ahead forecasting are illustrated in the latter study.

All these challenges make the task more difficult to tackle compared with traditional machine learning ones.

In addition to single-locus-based methods, any approaches discussed previously, especially the machine learning ones, can be used to search for candidates in the first stage.

While the sensitivity of GP is still less than the original scoring method, the possibility of tuning the fitness function is another intrinsic advantage of this technique with respect to the other machine learning ones considered in this article.

If the algorithm is a machine learning one, given a dataset URI as input parameter, builds a new predictive model and returns the Model URI, or the Task URI.

New advances in the machine learning area, such as deep learning [2], have made the interplay between the optimization methods and machine learning one of the most important aspects of advanced computational science.

They consist mainly of two stages, namely a music representation stage and a machine learning one.

Machine learning, one of the fundamentals behind AI, was defined by Arthur Samuel in 1959 as the science of getting computers to learn and act without being explicitly programmed.

These are shown in Table 3, with the difference indicated as positive if the human classifier performs better, and negative if the machine learning one is more accurate for that molecule.

In machine learning, one of the standard measures of predicting the performance of trained models is zero-one loss, which is a powerful tool from sampling theory statistics used for analysing supervised learning scenarios [ 22].