Sentence examples for evaluate the inference from inspiring English sources

To evaluate the Inference method's performance, BANNER was first applied to each PubMed abstract to identify disease name strings, the Inference method was then applied to normalize each mention to a MEDIC concept.

To evaluate the inference quality when regular genotype data are available, we first determined only a limited number of regular genotypes by the MTI method, i.e., the smallest set of regular genotypes that have empty intersection on the heterozygous SNPs, then resolved the ambiguity by bit flipping on the initial inference according to these regular genotypes.

Previous research has extensively evaluated privacy risks for users of social media, in general by evaluating the inference of personal attributes of users from their digital traces [12].

NetGenerator is applied to relevant benchmark examples evaluating the inference for data from experiments with different stimuli.

Since we were unable to find a method to optimally set our sparsity parameter, we evaluated the inference accuracy over all sparsity levels (except self-interactions were always non-zero).

This leads to the following definitions: SE = TP / (TP + FN + F P s ) SP = TN / (TN + F P n ) PR = TP / (TP + F P n + F P s ) FM = 2 · PR · SE / (PR + SE ) For all three benchmark examples, we evaluated the inference by those statistical measures showing the reproduction of the system structure and time series by the model.

Benchmark measures like recall (R) and precision (P) are used to evaluate the performance of inference algorithms.

Even though previous methods have been used to infer ancestry in Latinos (Price et al., 2008; Tang et al., 2007), to date there has never been any attempt to evaluate the accuracy of the inference methods on such populations.

The 'if only' thoughts generated by participants validate the idea that the majority of participants produced the same counterfactual thought as the one participants were asked to evaluate in the inference task.

Therefore, in order to evaluate how the inference of genomic imprinting by our model is affected by our choice of empirical hyper-parameter values we performed the following sensitivity analysis.

Primary analyses will be conducted under the assumption of MAR; sensitivity analyses will be based on sensible "missing not at random" scenarios to evaluate the robustness of the inferences under the MAR assumption.