Sentence examples for forest techniques from inspiring English sources

The most important indices participating in desertification risk were identified by regression tree and random forest techniques.

We applied a statistical algorithm including regression trees and random forest techniques for determining main factors affecting desertification based on ESAs in Taybad-Bakharz region at northeastern Iran.

Regression trees and random forest techniques in desertification hazard provide an absolute estimation of the relationship between dependent and independent variables.

Several approaches in the literature have been proposed for interpreting local and global QSAR models based on support vector machine and random forest techniques [46, 47].

The algorithm is based on a neural network using a the Newton Raphson's method with the maximum likelihood, obtaining more robust results than other well-known algorithms such as SVMs, feed-forward neural networks, k-NN or random forest techniques.

For example, the regression tree and random forest techniques as two relatively new tree-based models optimized predictive performance by combining a large number of simple trees into a powerful model rather than a single tree model based on traditional regression trees (Skurichina and Duin 2002).

Random forest technique was applied to select the contributing factors and avoid the over-fitting issues.

Boosting using random forest technique yielded 99.5% for the same number of topics in phishGILLNET2.

Random forest technique was applied on all collected road attributes to screen out the unimportant ones.

A wide range of road geometric, traffic and built environmental variables along with user-perceived ratings was analyzed using random forest technique.

After calculating desertification hazard index, regression trees and random forest technique was applied for identifying preference of main criteria affecting desertification.