Three classification tasks were defined for this dataset: Gender classification.
Three classification techniques were applied to distinguish the leak from the non-leak state.
In this work, we compare three classification approaches, SVM [18], CRF [19], and LSTM [20].
What is more, we design three classification schemes by fully exploiting the synthesis linear classifier.
Three classification scenarios were devised using 4 and 9 class scenarios.
Next, three classification models were calibrated in a training area using different multivariate statistical techniques.
Finally, study established three classification of additives based on material structure, method of application and additives functions.
We experimented three classification algorithms: LMT, MLR with a ridge estimator, and SVM implemented in WEKA machine learning toolkit [25].
These metrics were calculated by compressing the submitted confidence scores into three classification categories: with disease, without disease and equivocal.
The large middle category has an assigned class of nonviolent crime, and there are three classification errors in that partition.
We have used the technique to produce land cover maps of Scotland using three classification systems of varying complexity.
