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Under a collection of trees, we ceremoniously consumed the last pieces of salami.
The RF classifier consists of a collection of trees.
RF is a method of the "decision tree classifiers" family, but it works on a collection of trees (a 'forest') rather than a single tree.
There are many ways of obtaining a "representative" tree topology from a collection of trees.
The MRT of a collection of trees is the tree that exhibits all clusters present in the majority —i.e., strictly more than 50%— of the input trees.
A forest is a collection of trees, and a RF consists of a collection or ensemble of simple tree predictors, each capable of producing a response when presented with a set of predictor values.
Given a hybridization network, a collection of trees was created by sampling with replacement from the collection of principal trees (the same tree may appear multiple times).
The forest generation process constructs a collection of trees with controlled error variance.
A tree T displays a collection of trees T if T displays every tree in T. If such a tree T exists, then we say that T is compatible; otherwise, we say that T is incompatible.
This atlas is a collection of tree-ring data that measures drought using the Palmer Drought Severity Index.
First, each estimated source tree is replaced with a subset of its induced quartet trees, and then the sets of quartet trees are combined into a collection of quartet trees (some from each source tree).
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