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Splitting of internal nodes is based on maximum information gain using GINI index.
The partial measurement strategy based on deviation modeling and adaptive region selection results in maximum information gain within the given assembly system cycle time.
For the hypotheses generation a recursive partitioning method (actually a simplified version of a decision tree as described in Figure 12) was used to identify fragments that yield the maximum information gain [27].
A C5.0 model works by splitting the sample according to the field that provides the maximum information gain.
We determined this threshold value by exhaustively testing each possible value of the attribute and kept the one with the maximum information gain ratio to the known label.
We train a decision tree T by recursively splitting the individuals in each node using maximum information gain for feature selection.
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This map, together with a multiple-view estimator and a maximum-information-gain gathering approach, incrementally provide a better understanding of the scene until reaching the task termination criterion.
Therefore, after defining the variables and responses of experiments, they can be planned and performed in such a way that maximum information is gained from a minimum number of experiments [22].
Anyhow, it is reasonable that the maximum information is gained when the entire signal exiting the surface is collected, and that a spare coverage, as the one depicted in the left of Fig. 2 in the case of the bundle is quite far from the ultimate limit.
The proposed policies include policies that use maximum likelihood and information gain measures.
There are several known methods for discretization including Equal Information Gain, Maximum Entropy, and Equal Interval Width.
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