Sentence examples for evaluation of the generalization from inspiring English sources

We consider speakers of different genders in training and test dataset for the evaluation of the generalization ability of the proposed system.

First, perception-oriented feature selection strategies should be developed and deployed to avoid the risk of falling into the curse of dimensionality; second, robust validation procedures should be established to test these systems, including fixed steps such as model selection and fair evaluation of the generalization error.

Although many meta-analyses agglutinate more than 3 studies, the number of studies used was the minimum required to enable evaluation of the generalization of the results.

We present the first evaluation of the generalization performance of event extraction systems to this scale and show that despite its computational complexity, event extraction from the entire PubMed is feasible.

Our analysis included a validation of the classifiers on independent data, which allowed for an objective evaluation of the actual generalization behavior of the gene-based and module-based classifiers in a clinically relevant setting.

Due to the nature of GRAB as a generalization of LBP, future work will revolve around evaluation of the many other generalizations, and their ability to address additional issues in unconstrained face recognition.

In particular, the evaluation addresses the generalization property of decomposition and its capability to discover meaningful hierarchies.

However, since leave-one-out cross validation can overestimate the performance of a model, an independent evaluation is needed to have an unbiased estimate of the generalization capacity.

Then, the quantitative evaluation of the proposed HDLA model in terms of its generalization ability is carried out.

A recent collaborative evaluation demonstrated the potential of event extraction systems, yet there have so far been no studies of the generalization ability of the systems nor the feasibility of large-scale extraction.

Fair estimation of the generalization performance.