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In the theory of complex systems, a function tree is a diagram showing the dependencies between the functions of a system. It breaks a problem down into simpler parts, allowing the design and development to be more focused and efficient. Wikipedia
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Decision trees derived from the framework are able to use decision nodes with multivariate tests, and leaf nodes that make predictions using linear functions.
We present an algorithm for multivariate tree learning that combines a univariate decision tree with a discriminant function by means of constructive induction.
Decision trees derived from the framework are able to use decision nodes with multivariate tests, and leaf nodes that make predictions using linear functions.
Decision trees derived from the framework are able to use decision nodes with multivariate tests, and leaf nodes that make predictions using linear functions.
Decision trees derived from the framework are able to use decision nodes with multivariate tests, and leaf nodes that make predictions using linear functions.
Decision trees derived from the framework are able to use decision nodes with multivariate tests, and leaf nodes that make predictions using linear functions.
Mar 1, 2022 · Based on a global compilation of data, we show that functional traits of trees and forest standing biomass explain half of the local variability in forest SOC.