Sentence examples for multiple classification and from inspiring English sources

Experimental results are validated using several non-parametric statistical tests applied on multiple classification and interpretability metrics.

Random forest creates multiple classification and regression (CART) trees, each trained on a bootstrap sample of the original training data and searches across a randomly selected subset of input variables to determine the split.

In this study, we propose 89 new Wnt/β-catenin pathway target genes predicted in silico by using a method based on multiple Classification and Regression Tree (CART) analysis.

RF will create multiple classification and regression (CART) trees, each trained on a bootstrap sample of the original training data and searches across a randomly selected subset of input variables to determine the split.

Following the hypothesis that transcription factors work cooperatively to define gene expression, in this work we propose a multiple Classification and Regression Tree (CART) approach to identify new Wnt/β-catenin pathway target genes within the human genome, based on the presence of transcription factor binding site motifs in their regulatory regions.

The performance of our proposed approach is compared with three competing approaches for augmenting datasets and evaluated using multiple classification algorithms; and the results indicate the superior performance of our proposed method.

A second challenge would be to test in parallel multiple classification models and to select the best one, which dynamically better matches observed measurements.

In future work, we will first attempt to improve the discriminative power of the multiple classification framework and investigate how feature representation errors impact recognition frameworks.

In this context, the present study introduces WSF2, a novel web spam filtering framework specifically designed to take advantage of multiple classification schemes and algorithms.

Thousands of assistive-technology devices have been developed, and multiple classification systems have been created in an attempt to organize them for professionals and patients.

The multiple classification instances were constructed and integrated to classify a query sequence.