Sentence examples for prediction benchmarks from inspiring English sources

To test the dynamic memory of the network, we have applied the RRBFN in two time series prediction benchmarks (MacKey-Glass and Logistic Map).

SW is a fast network-based method that achieved leading prediction accuracy in a number of gene function prediction benchmarks [ 11, 20].

The analysis we carried out in this manuscript is different from previous secondary structure prediction benchmarks, because we are specifically interested in identifying mutations that globally disrupt a given secondary structure.

In our prediction benchmarks, we evaluated the Clarke-based cancer profiles using exactly the same procedure we used to evaluate the ISOpure-estimated cancer profiles, as outlined below in the 'Gene signature identification and testing' section.

The proposed self-organizing approach has been tested on one time-series prediction benchmark problem.

This paper presents a novel learning methodology for multigrid-based fuzzy system (MGFS), and its application to the CATS time series prediction benchmark.

This is why we decided not to complicate the function prediction benchmark.

The aim of this study was to evaluate a modified UKPDS risk engine in order to establish a risk prediction benchmark for the general diabetes population.

This information is vital for accurate prediction of novel instances of these ELMs but it presents an unwelcome challenge for de novo SLiM prediction benchmarking, as it is impossible for computational tools to achieve the same level of specificity given the lack of information in the input data.

ELMBench datasets are commonly used for SLiM prediction benchmarking but are quite limited because (i) the number of ELMs is restricted, and (ii) the realism of a dataset in which every protein contains the SLiM is questionable for real world applications.

For variation effect predictions, benchmarks have not been available and thus authors have used different datasets.