Sentence examples for tree classifications from inspiring English sources

To estimate the proportion of each land cover class for every pixel several decision tree classifications were combined to obtain class membership maps which were finally converted to a discrete map accompanied by a confidence estimate.

To map drainage classes efficiently, several analytical approaches, such as decision tree classification, can be used.

Decision tree classification can be improved by combining the predictions of several trees with boosting and bagging techniques.

A family tree classification is commonly used for the Romance languages.

In this system a decision tree classification is employed as a data mining technique.

A mapping method based on the Landsat data and a decision tree classification algorithm is described.

The resultant MODIS Chla and PC products were then used for cyanobacterial risk mapping with a decision tree classification model.

Texture and outline features and the SVMLSM algorithm were used to design a hierarchical tree classification system.

A decision tree classification analysis across the three modalities resulted in classification accuracy of 91.9% with FA, RD, and cortical thickness as key predictors.

We examined recovery of forest pattern following wildfire events and derived a large-area fire susceptibility model using decision tree classification.

The spectral data were then analyzed using some computational approaches consisted of SPLINE (moving cubic spline), NIPALS (principal component analysis), CLASS (classification and class modelling techniques), MRM (multivariate range modelling), TREE (classification trees), and PLS2 (correlation between blocks of variables)).