Sentence examples for manual classifier from inspiring English sources

$MANUAL: manual classifier for spatial queue description.

Using 0.05-m and 0.2-m raster grids, we compared a range of classifications, both pixel-based and object-based approaches, including manual, Maximum Likelihood Classifier, Jenks Optimization clustering, textural analysis and Object Based Image Analysis.

This consists of three steps: (i) re-slice the axon tubes along its orientation; (ii) extract 2D and 3D features from the slices and spheres rounding the center points; (iii) select samples to train AdaBoost classifier (manual selection of ∼100 samples for training).

We note that our approach (manual parameters or classifiers) is the only one which is able to detect all of the events.

We assemble the results obtained using manual parameters and classifiers as well as the results of other approaches in Table 2.

We found a significant difference between the performances of classifiers when manual or automatic segmentation was used.

We observed a significant difference between the performances of classifiers when manual or automatic segmentation was performed.

As an indication of the noise for different categories in the corpus, we show the confidence of the machine learning classifiers when both classifiers agree with the manual annotation and when there is no agreement between either the classifiers or the manual annotation (see Figs 4 and 5).

A commonly used method to evaluate MeSH text classification is to see how well a classifier reproduces the manual annotations of MEDLINE citations.

As mentioned before, we use the 190 training documents from the i2b2 corpus for classifier training and manual rule development and reserve the 120 test documents for evaluating system performance.

Overall accuracy of the MCS is comparable with the accuracy of each of the two classifiers when a manual segmentation procedure was performed.