Sentence examples for methods we compare from inspiring English sources

Then, in Section 3 we describe the sentiment analysis methods we compare.

The computation times for the methods we compare are short, and all approaches are implemented in R using currently available packages.

For validating the consistency of approximated features using the proposed methods, we compare the biohashes created from these features with the original biohashes leading to one imposter score for each sample in the database (1680 imposter matches).

For assessing to what extent the privacy of the user is at stake if his/her biohash is inverted via our proposed methods, we compare face images reconstructed using the original PCA vectors and the estimated features.

Note that the two methods we compare to here are strictly linear, in contrast with the SV extension we propose here of the L0-AbS method (highly non-linear).

Using a unique dataset from a coalition loyalty program with implementations of propensity score matching and difference-in-difference-in-difference methods, we compare the spending levels of app adopters with those of non-adopters.

Methods: We compared the National Nosocomial Infections Surveillance catheter-associated BSI rate between the non-US and US units.

To benchmark the optimal assignment methods, we compared the results with FieldScreen, the 166 bit MACCS keys and DOCK.

To clarify the characteristics of our methods, we compared our results with the existing method.

To confirm the strength of our methods, we compared them with MBSI, PBSI, and NetCBI.

For the five methods we compared the resulting number and lengths of hospital and ICU episodes.