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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Cellular Tree Classifiers
verfasst von : Gérard Biau, Luc Devroye
Erschienen in: Algorithmic Learning Theory
Verlag: Springer International Publishing
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Suppose that binary classification is done by a tree method in which the leaves of a tree correspond to a partition of d-space. Within a partition, a majority vote is used. Suppose furthermore that this tree must be constructed recursively by implementing just two functions, so that the construction can be carried out in parallel by using “cells”: first of all, given input data, a cell must decide whether it will become a leaf or an internal node in the tree. Secondly, if it decides on an internal node, it must decide how to partition the space linearly. Data are then split into two parts and sent downstream to two new independent cells. We discuss the design and properties of such classifiers.