Sentence examples for methods using information from inspiring English sources

Exact(5)

It is used with regard to a base of photos taken in similar lighting conditions and components of used methods using information about colour [17, 18].

The eyelid edges may be designated with methods using information about level luminance of analysed area, the method analysing image depth in greyscale [30].

Many biomedical text summarization methods using information retrieval (IR) techniques together with domain-specific resources have been proposed to extract relevant sentences from documents [ 1, 2].

Evidently, the predictions made by different methods using information from different species complement each other quite well instead of only predicting the same functions again and again.

Recently, feature selection methods using information theory have been devised for feature-to-class relevance and feature-to-feature correlations, including a probabilistic interpretation based upon the conditional likelihood maximisation in order to unify information theoretic feature selection [ 36].

Similar(54)

Our methods use information that is present in the data and is not currently utilized.

Simple imputation methods use information from other people (cross-sectional), or information pertaining to the person whose QoL data were missing (longitudinal) [ 15].

Such methods use information elicited from the respondent, often through a computerized interface, in crafting messages specific to that respondent [ 49].

These methods use information from the underlying data to cluster together similar subsets of sites in an alignment, and build on clustering approaches that have been proposed elsewhere.

Biologically-driven methods use information from known pathways to group SNPs together, with the assumption that the SNPs may have similar effects on phenotype and thus can be aggregated.

Gene tree-species tree methods use information for each individual locus to estimate the species tree; therefore, it is important to minimize the amount of missing data in the dataset.

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