Sentence examples for datasets for evaluation of from inspiring English sources
All studies except [30, 32, 34, 38 41] consider private datasets for evaluation of the proposed techniques.
The vector (Ma1, Ma2, ⋯) is corresponding to the features of the peptide p a. We use two types of datasets for evaluation of the proposed descriptors.
This contribution is likely to provide a summarized review of different databases allowing researchers choose the most appropriate datasets for evaluation of their proposed systems.
Even though, the existence of datasets for evaluation of movie summarization algorithms is crucial, human quality evaluations, as shown here, are also essential for improving the quality of the produced summaries, by getting feedback that aids in the development of systems that further enhance the viewing experience.
Other researchers (16) have experimented with crowdsourcing to create gold standard datasets for evaluation of biomedical curation tasks.
This article provides an overview of the Upper Limb International Spasticity (ULIS) programme, which aims to develop a common core dataset for evaluation of real-life practice and outcomes in the treatment of upper-limb spasticity with botulinum toxin A (BoNT-A).
It also describes the available flow-based datasets used for evaluation of flow-based intrusion detection systems.
Several questions remain to be investigated in our future work: 1) A challenge problem is the lack of large benchmark datasets for evaluation the scalability of the proposed method.
We consider the 19 datasets that were used for evaluation of TSP, k-TSP and their multi-class version classifiers in Tan et al. 2005.
Elements of the framework suggest how an investigator might approach characterization of variability in the dataset; identification of appropriate datasets for comparison; evaluation of similarities and differences in variability between these datasets, and of possible sources of the variability, including those related to test conduct and test design.
The present study showed that efforts should be dedicated to characterizing and modelling of gene flow at the landscape level, as well as the collection of datasets for the evaluation of these models in many landscapes and configurations.
