Exact(5)
By contrast, RF is an algorithm that uses a combination of decision trees that have a randomly selected subset of variables [23].
Random forest is an ensemble learning method containing a combination of decision tree classifiers.
RFR is a combination of decision trees, each one generated from a subset of individuals selected by bootstrap [ 52].
RFR is a combination of decision trees, each one generated from a subset of individuals selected by bootstrap (Breiman, 2001).
16 Low workplace control (a combination of decision authority and skill utilisation) was positively associated with obesity 17 18 and weight gains in men 11 and women 15 who were already overweight.
Similar(55)
An alternating decision tree [27] is a combination of a decision tree and boosting that generates classification rules often smaller in number of nodes and easier to interpret.
RT is a combination of this decision time with an additional non-decision residual time, t nd, which accounts for visual and motion delays and other factors that are independent of the decision process.
One example is Random Forests (RF), a combination of many decision trees (see, e.g., [54]).
Recent progress in the state of the art shows that a combination of both decision feedback and smoothing provides an improved tracking performance compared to applying each technique separately.
If the main elements determining a baseline are properly identified and understood, in particular the 'baseline agents', a combination of the decision tree approach and apportioning responsibility, can assist in the quantification and monitoring of primary leakage.
Random forests (RFs) use a combination of independent decision trees to improve classifier performance.
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