Sentence examples for boosting tree from inspiring English sources
SimBoost takes informative features from the drug and target similarities and from a matrix factorization model, and trains a gradient boosting tree model.
Agner et al. [14] showed that good performances could be yielded using a probabilistic boosting tree classifier in conjunction with textural kinetic features.
Forestry experts have devised some techniques for boosting tree production, but they announced this week that the species could be extinct in the wild within 5 to 10 years.
In the case of the hub classifier, the proteins were ranked based on the differences between predicted hub probabilities and non-hub probabilities as computed by the boosting tree method.
The training and testing of the hub-predicting classification trees were performed on 125 GO terms as predictor variables by using the boosting tree application as implemented in STATISTICA version 8 [ 46].
A useful output feature of the boosting tree method is the relative predictor importance, which measures the average influence of a predictor variable on the prediction outcome over all of the trees [ 45].
Using our own in-house generated PIN for the MRSA cell we have trained a boosting tree-based classifier that uses 75 physical and chemical QSAR descriptors computed for all proteins in the interaction network [2].
Within the framework of gradient boosting trees, the new loss function can be optimized with stochastic gradient descent.
Figure 1 illustrates the workflow of SimBoost and SimBoostQuant, consisting of the three steps of feature engineering, gradient boosting trees and prediction interval.
KGB analyzed the statistical models and tools of boosting trees, and revised the manuscript.
By utilizing the boosting trees classification method, we have shown that highly-connected proteins in the studied PINs share certain common GO terms; this observation enabled the development of a hub classifier capable of distinguishing hub proteins from non-hubs.
