Sentence examples for in a supervised method from inspiring English sources

However adaptations have been described that allow SOMs to be used in a supervised method, that is for predictive modelling [55, 56, 61 63].

In [17], a supervised method for finding mappings among identities of individuals across social media sites is introduced.

In comparison to a supervised method, our method does not require human intervention for training data preparation, feature selection or optimization, which are the essential requirements of a supervised system.

In brief, GSEA is a supervised method of elucidating differential expression (enrichment) of gene sets from gene expression data.

Based on a preliminary study [ 5], having applied a unsupervised statistical approach together with a rule-based method for the disambiguation of the period character within clinical narratives, we are focusing in this work on a supervised method exploiting support vector machines for the two different tasks, viz.

Orthogonal Projection to Latent Squares (OPLS) is a supervised multivariate linear regression method [ 49] and is a supervised method in that it makes use of a priori information to guide the analysis [ 50], e.g. tissue classes, as in the present case.

We show that besides providing consistent predictions, our algorithm improves the performance of the predictions compared to a supervised method used in a previous study.

The Invariants Discretization method is a supervised method.

Next we address the case of characteristic kernels which are defined for Abelian semigroups in Section 4. It gives us a characteristic kernel which is proper for histogram-based feature descriptors that we use in our supervised method.

Here, sorting was based on either the p-values of a statistical test in a pair-wise comparison (supervised method) or the contribution to a selected SVD component (unsupervised method).

In this work we developed a supervised classification method; that is, a method that uses a set of examples with known classification to train a predictor, which can then be used to classify a new sample.